Automatic Speech Recognition
Transformers
Safetensors
whisper
distil-whisper
quantization
int8
4-bit precision
nf4
bitsandbytes
ctranslate2
faster-whisper
Instructions to use rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4") model = AutoModelForSpeechSeq2Seq.from_pretrained("rudrakshrakeshzodage/distil-whisper-large-v3-pytorch-q4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K