Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#13)
Browse files- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (dcffea2098dd55f0d75605810d1c72860487eb46)
Co-authored-by: Yuichiro Tachibana <[email protected]>
README.md
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@@ -15,7 +15,7 @@ npm install @huggingface/transformers
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**Example:** Generate music with `Xenova/musicgen-small`.
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```js
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import { AutoTokenizer, MusicgenForConditionalGeneration } from '@huggingface/transformers';
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// Load tokenizer and model
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const tokenizer = await AutoTokenizer.from_pretrained('Xenova/musicgen-small');
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@@ -53,4 +53,4 @@ We also released an online demo, which you can try yourself: https://huggingface
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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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**Example:** Generate music with `Xenova/musicgen-small`.
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```js
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import { AutoTokenizer, MusicgenForConditionalGeneration, RawAudio } from '@huggingface/transformers';
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// Load tokenizer and model
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const tokenizer = await AutoTokenizer.from_pretrained('Xenova/musicgen-small');
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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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onnx/build_delay_pattern_mask_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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size 25810
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onnx/decoder_model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_with_past_model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/encodec_decode_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/text_encoder_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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