Instructions to use naot97/whisper-base-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naot97/whisper-base-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="naot97/whisper-base-8bit")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("naot97/whisper-base-8bit") model = AutoModelForSpeechSeq2Seq.from_pretrained("naot97/whisper-base-8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from naot97/whisper-base-8bit: direct link, hf CLI and curl.
- Browser
- Download file 2.2 MB
-
https://huggingface.co/naot97/whisper-base-8bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://naot97/whisper-base-8bit/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/naot97/whisper-base-8bit/resolve/main/tokenizer.json
2.2 MB
File too large to display, you can check the raw version instead.