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", device_map="auto") - 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
- Xet hash:
- 672328fca0fe4a494af727f24cb89820efff05f6b215c63d231b11eb3977115f
- Size of remote file:
- 2.55 GB
- SHA256:
- c3fb2a9e3ba9a06335d76ef8e0bf0109e35d91fe04aaaae35ed38a7db219ca0d
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