Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use sanchit-gandhi/whisper-large-v3-ft-cv16-mn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanchit-gandhi/whisper-large-v3-ft-cv16-mn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanchit-gandhi/whisper-large-v3-ft-cv16-mn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sanchit-gandhi/whisper-large-v3-ft-cv16-mn") model = AutoModelForSpeechSeq2Seq.from_pretrained("sanchit-gandhi/whisper-large-v3-ft-cv16-mn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd4b6ae952c002b43073177745cab54e39908566435da4ab55d8e63031b85fd4
- Size of remote file:
- 4.86 kB
- SHA256:
- fb06b58f1d46c3e8b2d64d8008c9337df78be343035ae7e5396fbf719adaf7aa
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