Instructions to use devkya/custom-peft-whiper-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkya/custom-peft-whiper-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devkya/custom-peft-whiper-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from devkya/custom-peft-whiper-large: direct link, hf CLI and curl.
- Browser
- Download file 42 MB
-
https://huggingface.co/devkya/custom-peft-whiper-large/resolve/main/adapter_model.bin
- Command line
-
hf download hf://devkya/custom-peft-whiper-large/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/devkya/custom-peft-whiper-large/resolve/main/adapter_model.bin
42 MB
- Xet hash:
- 7ea83128b1099be4f9a45cf59459fbd8a5b783c034c10c747d403eca107e798e
- Size of remote file:
- 42 MB
- SHA256:
- fd1273eba14c7605d75b5e509830bc2c24b37b1755db0126965379991ea08847
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