release/530-release-candidate #14164
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maziyarpanahi
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Feb 6, 2024
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- [Issue#14129] Fix for spark.jsl.settings.storage.cluster_tmp_dir configuration #14132
- SPARKNLP-942: MPNet Classifiers #14147
- Sparknlp 876: Introducing LLAMA2 #14148
- Doc sim rank as retriever #14149
- adding import notebook + changing default model + adding onnx support #14158
- 812 implement de berta for zero shot classification annotator #14151
- SPARKNLP-886: Add Fine tuned sentence bert notebook #14152
- [SPARKNLP-986] Fixing optional input col validations #14153
- [SPARKNLP-984] Fixing Deberta notebooks URIs #14154
- SparkNLP 933: Introducing M2M100 : multilingual translation model #14155
- SPARKNLP-985: Make Whisper compatible with onnx_data files #14165
- Fixed a bug with models that has 'onnx_data' file not working in dbfs/hdfs #14169 (Whisper Large model)
- [SPARKNLP-940] Adding changes to correctly copy cluster index storage… #14167 (server-less like Glue)
- [SPARKNLP-988] Updating EntityRuler documentation #14168
- SPARKNLP-1000: Fix No Operation named [init_all_tables] for GPT2 #14177
- fixes python documentation #14172
- fixed all sbt warnings #14156
- onnxruntime 1.17.0
- new DBr TLS
- new EMR (7.0)
* SPARKNLP-942: MPNetForSequenceClassification * SPARKNLP-942: MPNetForQuestionAnswering * SPARKNLP-942: MPNet Classifiers Documentation * Restore RobertaforQA bugfix
* introducing LLAMA2 * Added option to read model from model path to onnx wrapper * Added option to read model from model path to onnx wrapper * updated text description * LLAMA2 python API * added method to save onnx_data * added position ids * - updated Generate.scala to accept onnx tensors - added beam search support for LLAMA2 * updated max input length * updated python default params changed test to slow test * fixed serialization bug
* Added retrieval interface to the doc sim rank approach * Added Python interface as retriever in doc sim ranker --------- Co-authored-by: Stefano Lori <s.lori@izicap.com>
* adding code * adding notebook for import --------- Co-authored-by: Maziyar Panahi <maziyar.panahi@iscpif.fr>
…4155) * introducing LLAMA2 * Added option to read model from model path to onnx wrapper * Added option to read model from model path to onnx wrapper * updated text description * LLAMA2 python API * added method to save onnx_data * added position ids * - updated Generate.scala to accept onnx tensors - added beam search support for LLAMA2 * updated max input length * updated python default params changed test to slow test * fixed serialization bug * Added Scala code for M2M100 * Documentation for scala code * Python API for M2M100 * added more tests for scala * added tests for python * added pretrained * rewording * fixed serialization bug * fixed serialization bug --------- Co-authored-by: Maziyar Panahi <maziyar.panahi@iscpif.fr>
Some annotators might have different naming schemes for their files. Added a parameter to control this.
…bs/spark-nlp into release/530-release-candidate
#14167) * [SPARKNLP-940] Adding changes to correctly copy cluster index storage when defined * [SPARKNLP-940] Moving local mode control to its right place * [SPARKNLP-940] Refactoring sentToCLuster method
Fixes `java.lang.IllegalArgumentException: No Operation named [init_all_tables] in the Graph` when model needs to be deserialized. The deserialization is skipped when the modelis already loaded (so it will only appear on the worker nodes and not the driver) GPT2 does not contain tables and so does not require this command.
1 task
…warnings-in-SBT-build fixed all sbt warnings
This reverts commit eb91fde.
…bs/spark-nlp into release/530-release-candidate
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