Instructions to use Xenova/tiny-random-WhisperForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-WhisperForConditionalGeneration with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/tiny-random-WhisperForConditionalGeneration');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3β
Verified signature## Applied Quantizations ### β Based on `decoder_model.onnx` *with* slimming β³ β `fp16`: `decoder_model_fp16.onnx` (added) β³ β `q8`: `decoder_model_quantized.onnx` (added) β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `decoder_model.onnx` *with* slimming β³ β `fp16`: `decoder_model_fp16.onnx` (added) β³ β `q8`: `decoder_model_quantized.onnx` (added) β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `encoder_model.onnx` *with* slimming ``` None ``` β³ β `fp16`: `encoder_model_fp16.onnx` (added) β³ β `q8`: `encoder_model_quantized.onnx` (added) β³ β `int8`: `encoder_model_int8.onnx` (added but JS-basβ¦51bf66b
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