Automatic Speech Recognition
Transformers
JAX
TensorBoard
ONNX
Safetensors
Transformers.js
English
whisper
audio
Instructions to use tensorlake/distil-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorlake/distil-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorlake/distil-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorlake/distil-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorlake/distil-large-v3") - Transformers.js
How to use tensorlake/distil-large-v3 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'tensorlake/distil-large-v3'); - Notebooks
- Google Colab
- Kaggle
Transformers.js - Enable external data format in Node.js
#1
by Xenova HF Staff - opened
- config.json +7 -2
config.json
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"transformers_version": "4.38.0.dev0",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866
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"transformers_version": "4.38.0.dev0",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866,
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"transformers.js_config": {
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"use_external_data_format": {
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"encoder_model.onnx": true
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}
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}
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}
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