Instructions to use BuzzASR/hebrew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/hebrew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/hebrew")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/hebrew") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/hebrew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from BuzzASR/hebrew: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/BuzzASR/hebrew/resolve/main/vocab.json
- Command line
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hf download hf://BuzzASR/hebrew/vocab.json
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curl -L -o vocab.json https://huggingface.co/BuzzASR/hebrew/resolve/main/vocab.json
836 kB
File too large to display, you can check the raw version instead.