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 v3
Verified signature## Applied Quantizations ### ❌ Based on `encoder_model.onnx` *with* slimming ``` None ``` ↳ ❌ `int8`: `encoder_model_int8.onnx` (added but JS-based E2E test failed) ``` dtype not specified for "decoder_model_merged". Using the default dtype (fp32) for this device (cpu). /home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25 __classPrivateFieldGet(this, _OnnxruntimeSessionHandler_inferenceSession, "f").loadModel(pathOrBuffer, options); ^ Error: Could not find an implementation for ConvInteger(10) node with name '/conv1/Conv_quant' at new OnnxruntimeSessionHandler (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime-node/dist/backend.js:25:92) at Immediate.<anonymous> (/home/ubuntu/src/tjsmigration/node_modules/.pnpm/onnxruntime-node@1.21.0/node_modules/onnxruntime…700ed74
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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
Verified signature- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (51bf66b2b8fc87e9ea5bf88c8ebf4f4ea85c3fe8) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>8bb282d
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