Instructions to use jawadmohmmad/Whisper-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jawadmohmmad/Whisper-model with PEFT:
Task type is invalid.
- Transformers
How to use jawadmohmmad/Whisper-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jawadmohmmad/Whisper-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jawadmohmmad/Whisper-model: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/jawadmohmmad/Whisper-model/resolve/main/training_args.bin
- Command line
-
hf download hf://jawadmohmmad/Whisper-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jawadmohmmad/Whisper-model/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 4ab3ee1d7ef670dad622dc658b54c8f97d0ebc7bd763321fc5613e402f496bb6
- Size of remote file:
- 5.33 kB
- SHA256:
- 7ed6edda14e1ba98f0a0256e986e7c1fa1aab9918517b449d6b49cc0e5ad0c00
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