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From PyTorch to Browser: a full client-side solution with ONNX and Transformers.js

bandarra.me · published 6 May 2025

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https://huggingface.co/tasks/feature-extraction
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https://ai.google.dev/edge/litert/models/pytorch_to_tflite
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https://www.npmjs.com/package/@tensorflow/tfjs-tflite
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https://ai.google.dev/gemini-api/docs/embeddings
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https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/
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https://huggingface.co/docs/transformers.js/en/api/pipelines
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https://www.npmjs.com/package/onnxruntime-web
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https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
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https://huggingface.co/Xenova/all-MiniLM-L6-v2
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https://huggingface.co/docs/transformers.js/en/index
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https://onnxruntime.ai/
onnxruntime.ai
https://docs.pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html
docs.pytorch.org
https://en.wikipedia.org/wiki/Sigmoid_function
en.wikipedia.org
https://pytorch.org/tutorials/beginner/onnx/export_simple_model_to_onnx_tutorial.html
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https://github.com/andreban/jigsaw-toxic-comment-classification-challenge
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