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 tokenizer.json from ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32: direct link, hf CLI and curl.
- Browser
- Download file 2.48 MB
-
https://huggingface.co/ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/resolve/main/tokenizer.json
- Command line
-
hf download hf://ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ctranslate2-4you/whisper-distil-large-v3.5-ct2-float32/resolve/main/tokenizer.json
2.48 MB
File too large to display, you can check the raw version instead.