Instructions to use ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/resolve/main/vocab.json
- Command line
-
hf download hf://ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/vocab.json
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curl -L -o vocab.json https://huggingface.co/ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/resolve/main/vocab.json
836 kB
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