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2023-03-06-distilbert_token_classifier_ner_roles_openapi_en (#13613)
* Add model 2023-03-06-distilbert_token_classifier_ner_roles_openapi_en * Add model 2023-03-06-distilbert_token_classifier_base_ner_en * Add model 2023-03-06-distilbert_token_classifier_base_uncased_ft_conll2003_en * Add model 2023-03-06-distilbert_token_classifier_keyphrase_extraction_kptimes_en * Add model 2023-03-06-distilbert_token_classifier_keyphrase_extraction_inspec_en * Add model 2023-03-06-distilbert_token_classifier_base_uncased_finetuned_conll2003_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_job_all_903929564_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_company_vs_all_902129475_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_final_784824218_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_ner_778023879_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_name_all_904029577_en * Add model 2023-03-06-distilbert_tok_classifier_typo_detector_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_name_all_904029569_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_name_vsv_all_901529445_en * Add model 2023-03-06-dtilbert_token_classifier_typo_detector_is * Add model 2023-03-06-distilbert_token_classifier_icelandic_ner_distilbert_is * Add model 2023-03-06-distilbert_token_classifier_autotrain_final_784824211_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_company_all_903429548_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_final_784824209_en * Add model 2023-03-06-distilbert_token_classifier_keyphrase_extraction_openkp_en * Add model 2023-03-06-distilbert_token_classifier_autotrain_company_all_903429540_en * Add model 2023-03-06-distilbert_token_classifier_cpener_test_en * Update 2023-03-06-dtilbert_token_classifier_typo_detector_is.md Fixed typo * Update 2023-03-06-distilbert_token_classifier_icelandic_ner_distilbert_is.md Fixed model name --------- Co-authored-by: gokhanturer <mgturer@gmail.com> Co-authored-by: Gökhan <81560784+gokhanturer@users.noreply.github.com>
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docs/_posts/gokhanturer/2023-03-06-distilbert_tok_classifier_typo_detector_en.md
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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| layout: model | ||
| title: English DistilBertForTokenClassification Cased model (from m3hrdadfi) | ||
| author: John Snow Labs | ||
| name: distilbert_tok_classifier_typo_detector | ||
| date: 2023-03-06 | ||
| tags: [en, open_source, distilbert, token_classification, ner, tensorflow] | ||
| task: Named Entity Recognition | ||
| language: en | ||
| edition: Spark NLP 4.3.1 | ||
| spark_version: 3.0 | ||
| supported: true | ||
| engine: tensorflow | ||
| annotator: DistilBertForTokenClassification | ||
| article_header: | ||
| type: cover | ||
| use_language_switcher: "Python-Scala-Java" | ||
| --- | ||
|
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| ## Description | ||
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| Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `typo-detector-distilbert-en` is a English model originally trained by `m3hrdadfi`. | ||
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| ## Predicted Entities | ||
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| `TYPO` | ||
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| {:.btn-box} | ||
| <button class="button button-orange" disabled>Live Demo</button> | ||
| <button class="button button-orange" disabled>Open in Colab</button> | ||
| [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tok_classifier_typo_detector_en_4.3.1_3.0_1678134333311.zip){:.button.button-orange} | ||
| [Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tok_classifier_typo_detector_en_4.3.1_3.0_1678134333311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} | ||
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| ## How to use | ||
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| <div class="tabs-box" markdown="1"> | ||
| {% include programmingLanguageSelectScalaPythonNLU.html %} | ||
| ```python | ||
| documentAssembler = DocumentAssembler() \ | ||
| .setInputCols(["text"]) \ | ||
| .setOutputCols("document") | ||
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| tokenizer = Tokenizer() \ | ||
| .setInputCols("document") \ | ||
| .setOutputCol("token") | ||
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| tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_tok_classifier_typo_detector","en") \ | ||
| .setInputCols(["document", "token"]) \ | ||
| .setOutputCol("ner") | ||
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| pipeline = Pipeline(stages=[documentAssembler, tokenizer, tokenClassifier]) | ||
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| data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") | ||
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| result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| ```scala | ||
| val documentAssembler = new DocumentAssembler() | ||
| .setInputCols(Array("text")) | ||
| .setOutputCols(Array("document")) | ||
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| val tokenizer = new Tokenizer() | ||
| .setInputCols("document") | ||
| .setOutputCol("token") | ||
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| val tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_tok_classifier_typo_detector","en") | ||
| .setInputCols(Array("document", "token")) | ||
| .setOutputCol("ner") | ||
|
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| val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier)) | ||
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| val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") | ||
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| val result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| </div> | ||
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| {:.model-param} | ||
| ## Model Information | ||
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| {:.table-model} | ||
| |---|---| | ||
| |Model Name:|distilbert_tok_classifier_typo_detector| | ||
| |Compatibility:|Spark NLP 4.3.1+| | ||
| |License:|Open Source| | ||
| |Edition:|Official| | ||
| |Input Labels:|[document, token]| | ||
| |Output Labels:|[ner]| | ||
| |Language:|en| | ||
| |Size:|244.1 MB| | ||
| |Case sensitive:|true| | ||
| |Max sentence length:|128| | ||
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| ## References | ||
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| - https://huggingface.co/m3hrdadfi/typo-detector-distilbert-en | ||
| - https://github.com/neuspell/neuspell | ||
| - https://github.com/m3hrdadfi/typo-detector/issues |
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...er/2023-03-06-distilbert_token_classifier_autotrain_company_all_903429540_en.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| --- | ||
| layout: model | ||
| title: English DistilBertForTokenClassification Cased model (from ismail-lucifer011) | ||
| author: John Snow Labs | ||
| name: distilbert_token_classifier_autotrain_company_all_903429540 | ||
| date: 2023-03-06 | ||
| tags: [en, open_source, distilbert, token_classification, ner, tensorflow] | ||
| task: Named Entity Recognition | ||
| language: en | ||
| edition: Spark NLP 4.3.1 | ||
| spark_version: 3.0 | ||
| supported: true | ||
| engine: tensorflow | ||
| annotator: DistilBertForTokenClassification | ||
| article_header: | ||
| type: cover | ||
| use_language_switcher: "Python-Scala-Java" | ||
| --- | ||
|
|
||
| ## Description | ||
|
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||
| Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `autotrain-company_all-903429540` is a English model originally trained by `ismail-lucifer011`. | ||
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| ## Predicted Entities | ||
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| `Company`, `OOV` | ||
|
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||
| {:.btn-box} | ||
| <button class="button button-orange" disabled>Live Demo</button> | ||
| <button class="button button-orange" disabled>Open in Colab</button> | ||
| [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_classifier_autotrain_company_all_903429540_en_4.3.1_3.0_1678134087932.zip){:.button.button-orange} | ||
| [Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_classifier_autotrain_company_all_903429540_en_4.3.1_3.0_1678134087932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} | ||
|
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| ## How to use | ||
|
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||
|
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||
|
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| <div class="tabs-box" markdown="1"> | ||
| {% include programmingLanguageSelectScalaPythonNLU.html %} | ||
| ```python | ||
| documentAssembler = DocumentAssembler() \ | ||
| .setInputCols(["text"]) \ | ||
| .setOutputCols("document") | ||
|
|
||
| tokenizer = Tokenizer() \ | ||
| .setInputCols("document") \ | ||
| .setOutputCol("token") | ||
|
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| tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_autotrain_company_all_903429540","en") \ | ||
| .setInputCols(["document", "token"]) \ | ||
| .setOutputCol("ner") | ||
|
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| pipeline = Pipeline(stages=[documentAssembler, tokenizer, tokenClassifier]) | ||
|
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| data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") | ||
|
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| result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| ```scala | ||
| val documentAssembler = new DocumentAssembler() | ||
| .setInputCols(Array("text")) | ||
| .setOutputCols(Array("document")) | ||
|
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||
| val tokenizer = new Tokenizer() | ||
| .setInputCols("document") | ||
| .setOutputCol("token") | ||
|
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| val tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_autotrain_company_all_903429540","en") | ||
| .setInputCols(Array("document", "token")) | ||
| .setOutputCol("ner") | ||
|
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| val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier)) | ||
|
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| val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") | ||
|
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| val result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| </div> | ||
|
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| {:.model-param} | ||
| ## Model Information | ||
|
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||
| {:.table-model} | ||
| |---|---| | ||
| |Model Name:|distilbert_token_classifier_autotrain_company_all_903429540| | ||
| |Compatibility:|Spark NLP 4.3.1+| | ||
| |License:|Open Source| | ||
| |Edition:|Official| | ||
| |Input Labels:|[document, token]| | ||
| |Output Labels:|[ner]| | ||
| |Language:|en| | ||
| |Size:|247.5 MB| | ||
| |Case sensitive:|true| | ||
| |Max sentence length:|128| | ||
|
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| ## References | ||
|
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| - https://huggingface.co/ismail-lucifer011/autotrain-company_all-903429540 |
98 changes: 98 additions & 0 deletions
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...er/2023-03-06-distilbert_token_classifier_autotrain_company_all_903429548_en.md
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| --- | ||
| layout: model | ||
| title: English DistilBertForTokenClassification Cased model (from ismail-lucifer011) | ||
| author: John Snow Labs | ||
| name: distilbert_token_classifier_autotrain_company_all_903429548 | ||
| date: 2023-03-06 | ||
| tags: [en, open_source, distilbert, token_classification, ner, tensorflow] | ||
| task: Named Entity Recognition | ||
| language: en | ||
| edition: Spark NLP 4.3.1 | ||
| spark_version: 3.0 | ||
| supported: true | ||
| engine: tensorflow | ||
| annotator: DistilBertForTokenClassification | ||
| article_header: | ||
| type: cover | ||
| use_language_switcher: "Python-Scala-Java" | ||
| --- | ||
|
|
||
| ## Description | ||
|
|
||
| Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `autotrain-company_all-903429548` is a English model originally trained by `ismail-lucifer011`. | ||
|
|
||
| ## Predicted Entities | ||
|
|
||
| `Company`, `OOV` | ||
|
|
||
| {:.btn-box} | ||
| <button class="button button-orange" disabled>Live Demo</button> | ||
| <button class="button button-orange" disabled>Open in Colab</button> | ||
| [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_classifier_autotrain_company_all_903429548_en_4.3.1_3.0_1678134060472.zip){:.button.button-orange} | ||
| [Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_classifier_autotrain_company_all_903429548_en_4.3.1_3.0_1678134060472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} | ||
|
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| ## How to use | ||
|
|
||
|
|
||
|
|
||
| <div class="tabs-box" markdown="1"> | ||
| {% include programmingLanguageSelectScalaPythonNLU.html %} | ||
| ```python | ||
| documentAssembler = DocumentAssembler() \ | ||
| .setInputCols(["text"]) \ | ||
| .setOutputCols("document") | ||
|
|
||
| tokenizer = Tokenizer() \ | ||
| .setInputCols("document") \ | ||
| .setOutputCol("token") | ||
|
|
||
| tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_autotrain_company_all_903429548","en") \ | ||
| .setInputCols(["document", "token"]) \ | ||
| .setOutputCol("ner") | ||
|
|
||
| pipeline = Pipeline(stages=[documentAssembler, tokenizer, tokenClassifier]) | ||
|
|
||
| data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") | ||
|
|
||
| result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| ```scala | ||
| val documentAssembler = new DocumentAssembler() | ||
| .setInputCols(Array("text")) | ||
| .setOutputCols(Array("document")) | ||
|
|
||
| val tokenizer = new Tokenizer() | ||
| .setInputCols("document") | ||
| .setOutputCol("token") | ||
|
|
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| val tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_autotrain_company_all_903429548","en") | ||
| .setInputCols(Array("document", "token")) | ||
| .setOutputCol("ner") | ||
|
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| val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier)) | ||
|
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| val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") | ||
|
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| val result = pipeline.fit(data).transform(data) | ||
| ``` | ||
| </div> | ||
|
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| {:.model-param} | ||
| ## Model Information | ||
|
|
||
| {:.table-model} | ||
| |---|---| | ||
| |Model Name:|distilbert_token_classifier_autotrain_company_all_903429548| | ||
| |Compatibility:|Spark NLP 4.3.1+| | ||
| |License:|Open Source| | ||
| |Edition:|Official| | ||
| |Input Labels:|[document, token]| | ||
| |Output Labels:|[ner]| | ||
| |Language:|en| | ||
| |Size:|247.5 MB| | ||
| |Case sensitive:|true| | ||
| |Max sentence length:|128| | ||
|
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| ## References | ||
|
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| - https://huggingface.co/ismail-lucifer011/autotrain-company_all-903429548 |
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