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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b64493f2a1bb377c0a7ae2aec0a97c2fd5baa51a48af0f710e8988d85dae97
- Size of remote file:
- 4.16 kB
- SHA256:
- 3bffe3ee8fa6f55af146c4d5f06cfb3e6ce7d7e37047e3711004138250f71a94
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