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[auto-merge] branch-25.02 to branch-25.04 [skip ci] [bot] #498

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Feb 19, 2025
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[auto-merge] branch-25.02 to branch-25.04 [skip ci] [bot] #498

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23 changes: 12 additions & 11 deletions examples/ML+DL-Examples/Spark-DL/dl_inference/README.md
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Expand Up @@ -43,17 +43,18 @@ Below is a full list of the notebooks with links to the examples they are based

| | Framework | Notebook Name | Description | Link
| ------------- | ------------- | ------------- | ------------- | -------------
| 1 | HuggingFace | DeepSeek-R1 | LLM batch inference using the DeepSeek-R1-Distill-Llama reasoning model. | [Link](https://huggingface.co/deepseek-ai/DeepSeek-R1)
| 2 | HuggingFace | Gemma-7b | LLM batch inference using the lightweight Google Gemma-7b model. | [Link](https://huggingface.co/google/gemma-7b-it)
| 3 | HuggingFace | Sentence Transformers | Sentence embeddings using SentenceTransformers in Torch. | [Link](https://huggingface.co/sentence-transformers)
| 4+5 | HuggingFace | Conditional Generation | Sentence translation using the T5 text-to-text transformer for both Torch and Tensorflow. | [Link](https://huggingface.co/docs/transformers/model_doc/t5#t5)
| 6+7 | HuggingFace | Pipelines | Sentiment analysis using Huggingface pipelines for both Torch and Tensorflow. | [Link](https://huggingface.co/docs/transformers/quicktour#pipeline-usage)
| 8 | PyTorch | Image Classification | Training a model to predict clothing categories in FashionMNIST, and deploying with Torch-TensorRT accelerated inference. | [Link](https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html)
| 9 | PyTorch | Housing Regression | Training and deploying a model to predict housing prices in the California Housing Dataset, and deploying with Torch-TensorRT accelerated inference. | [Link](https://github.com/christianversloot/machine-learning-articles/blob/main/how-to-create-a-neural-network-for-regression-with-pytorch.md)
| 10 | Tensorflow | Image Classification | Training and deploying a model to predict hand-written digits in MNIST. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/save_and_load.ipynb)
| 11 | Tensorflow | Keras Preprocessing | Training and deploying a model with preprocessing layers to predict likelihood of pet adoption in the PetFinder mini dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/structured_data/preprocessing_layers.ipynb)
| 12 | Tensorflow | Keras Resnet50 | Deploying ResNet-50 to perform flower recognition from flower images. | [Link](https://docs.databricks.com/en/_extras/notebooks/source/deep-learning/keras-metadata.html)
| 13 | Tensorflow | Text Classification | Training and deploying a model to perform sentiment analysis on the IMDB dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/text_classification.ipynb)
| 1 | HuggingFace | DeepSeek-R1 | LLM batch inference using the DeepSeek-R1-Distill-Llama reasoning model to solve word problems. | [Link](https://huggingface.co/deepseek-ai/DeepSeek-R1)
| 2 | HuggingFace | Qwen-2.5-7b | LLM batch inference using the Qwen-2.5-7b model for text summarization. | [Link](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
| 3 | HuggingFace | Gemma-7b | LLM batch inference using the Google Gemma-7b model for code comprehension tasks. | [Link](https://huggingface.co/google/gemma-7b-it)
| 4 | HuggingFace | Sentence Transformers | Sentence embeddings using SentenceTransformers in Torch. | [Link](https://huggingface.co/sentence-transformers)
| 5+6 | HuggingFace | Conditional Generation | Sentence translation using the T5 text-to-text transformer (Torch and Tensorflow). | [Link](https://huggingface.co/docs/transformers/model_doc/t5#t5)
| 7+8 | HuggingFace | Pipelines | Sentiment analysis using Huggingface pipelines (Torch and Tensorflow). | [Link](https://huggingface.co/docs/transformers/quicktour#pipeline-usage)
| 9 | PyTorch | Image Classification | Training a model to predict clothing categories in FashionMNIST, and deploying with Torch-TensorRT accelerated inference. | [Link](https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html)
| 10 | PyTorch | Housing Regression | Training and deploying a model to predict housing prices in the California Housing Dataset, and deploying with Torch-TensorRT accelerated inference. | [Link](https://github.com/christianversloot/machine-learning-articles/blob/main/how-to-create-a-neural-network-for-regression-with-pytorch.md)
| 11 | Tensorflow | Image Classification | Training and deploying a model to predict hand-written digits in MNIST. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/save_and_load.ipynb)
| 12 | Tensorflow | Keras Preprocessing | Training and deploying a model with preprocessing layers to predict likelihood of pet adoption in the PetFinder mini dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/structured_data/preprocessing_layers.ipynb)
| 13 | Tensorflow | Keras Resnet50 | Deploying ResNet-50 to perform flower recognition from flower images. | [Link](https://docs.databricks.com/en/_extras/notebooks/source/deep-learning/keras-metadata.html)
| 14 | Tensorflow | Text Classification | Training and deploying a model to perform sentiment analysis on the IMDB dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/text_classification.ipynb)


## Running Locally
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