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README.md
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---
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-
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language:
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- ps
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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-
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- mozilla-foundation/common_voice_17_0
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model-index:
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- name: Whisper Small PS - Hanif Rahman
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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---
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base_model: openai/whisper-small
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datasets:
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- mozilla-foundation/common_voice_17_0
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language:
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- ps
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library_name: transformers.js
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license: apache-2.0
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tags:
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- generated_from_trainer
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- onnx
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model-index:
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- name: Whisper Small PS - Hanif Rahman
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results: []
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---
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https://huggingface.co/ihanif/whisper-test with ONNX weights to be compatible with Transformers.js.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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---
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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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