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README.md
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---
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base_model: google/flan-t5-small
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library_name: transformers.js
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license: mit
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datasets:
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- openai/mrcr
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language:
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- en
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metrics:
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- character
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new_version: microsoft/bitnet-b1.58-2B-4T
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pipeline_tag: question-answering
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tags:
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- code
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---
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https://huggingface.co/google/flan-t5-small with ONNX weights to be compatible with Transformers.js.
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Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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