Instructions to use abhinavp/dummy_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinavp/dummy_run with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("abhinavp/dummy_run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6db6a5565c462df84136dcce13262062bbb154f84c797743d8f6ad037801e4df
- Size of remote file:
- 272 MB
- SHA256:
- 9ccc62a82fbf2bfa183e42488ddbb6388249f46b596772d585c9286898c1df67
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