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* SPARKNLP-915, SPARKNLP-918:MPNet ONNX Example and missing Documentation (#13996)

* SPARKNLP-915: Fixed transformer version

* SPARKNLP-918: Missing Documentation
- missing annotators to home page
- missing doc strings
- export notebooks on transformers page

* SPARKNLP-765: VisionEncoderDecoder (#13997)

* Bump version & CHANGELOG [run doc]

* Update Scala and Python APIs

* [skip test] Add Example for VisionEncoderDecoder

* Release on Conda [skip test]

---------

Co-authored-by: Devin Ha <33089471+DevinTDHa@users.noreply.github.com>
Co-authored-by: github-actions <action@github.com>
Co-authored-by: Devin Ha <t.ha@tu-berlin.de>
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11 changes: 11 additions & 0 deletions CHANGELOG
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========
5.1.2
========
----------------
New Features & Enhancements
----------------
* **NEW:** Introducing VisionEncoderDecoder annotator to generate captions from images
* Add missing enteries in the docs and update them with the new features
* Improve beam search results in BART Transformer


========
5.1.1
========
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Expand Up @@ -6,7 +6,7 @@ name := getPackageName(is_silicon, is_gpu, is_aarch64)

organization := "com.johnsnowlabs.nlp"

version := "5.1.1"
version := "5.1.2"

(ThisBuild / scalaVersion) := scalaVer

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{% set name = "spark-nlp" %}
{% set version = "5.1.1" %}
{% set version = "5.1.2" %}

package:
name: {{ name|lower }}
version: {{ version }}

source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark-nlp-{{ version }}.tar.gz
sha256: 7dc90ff99334614018e3846f5057d90858b6ab5708f065016570d9a03ee935e7
sha256: 33e5124228e6064577231d3aa87476ad3f38988ab679e2dbd91b4273b7f407c2

build:
noarch: python
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<div class="highlight-box">
{% highlight bash %}
# Using PyPI
$ pip install spark-nlp==5.1.1
$ pip install spark-nlp==5.1.2

# Using Anaconda/Conda
$ conda install -c johnsnowlabs spark-nlp
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<li>Easy <strong>ONNX</strong> and <strong>TensorFlow</strong> integrations</li>
<li><strong>GPU</strong> Support</li>
<li>Full integration with <strong>Spark ML</strong> functions</li>
<li><strong>12000+</strong> pre-trained <strong>models </strong> in <strong>200+ languages! </strong>
<li><strong>5000+</strong> pre-trained <strong>pipelines </strong> in <strong>200+ languages! </strong>
<li><strong>15000+</strong> pre-trained <strong>models </strong> in <strong>200+ languages! </strong>
<li><strong>5800+</strong> pre-trained <strong>pipelines </strong> in <strong>200+ languages! </strong>
</ul>
</div>
{% highlight python %}
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