Instructions to use BUT-FIT/DiCoW_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUT-FIT/DiCoW_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, WhisperForConditionalGenerationWithCTC processor = AutoProcessor.from_pretrained("BUT-FIT/DiCoW_v2") model = WhisperForConditionalGenerationWithCTC.from_pretrained("BUT-FIT/DiCoW_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from BUT-FIT/DiCoW_v2: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/BUT-FIT/DiCoW_v2/resolve/main/vocab.json
- Command line
-
hf download hf://BUT-FIT/DiCoW_v2/vocab.json
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curl -L -o vocab.json https://huggingface.co/BUT-FIT/DiCoW_v2/resolve/main/vocab.json
836 kB
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