Instructions to use Yulle/WhisperCheckpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yulle/WhisperCheckpoints2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yulle/WhisperCheckpoints2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Yulle/WhisperCheckpoints2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Yulle/WhisperCheckpoints2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yulle/WhisperCheckpoints2: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Yulle/WhisperCheckpoints2/resolve/main/training_args.bin
- Command line
-
hf download hf://Yulle/WhisperCheckpoints2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Yulle/WhisperCheckpoints2/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- b5ab5993636af3770998bdcd1cc8d0f675fd22c172c0e5f1336a7083f84ac742
- Size of remote file:
- 4.86 kB
- SHA256:
- 5449fc01f428971499e427936fd7bfcaee77e569a0c63c0a45c8a43605a2d974
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