Instructions to use abhinavp/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinavp/dummy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("abhinavp/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from abhinavp/dummy: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/abhinavp/dummy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://abhinavp/dummy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/abhinavp/dummy/resolve/main/pytorch_model.bin
272 MB
- Xet hash:
- cd890947bfeee98c793f2a2c16eed4187c6f1e85379f81cd577c029a0fab7b33
- Size of remote file:
- 272 MB
- SHA256:
- b063ac7153ced1938972acd4df28a12a4f0ee7aab68af526d0674d22c9e74873
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