Instructions to use lucrbrtv/idm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucrbrtv/idm with Transformers:
# Load model directly from transformers import IDM model = IDM.from_pretrained("lucrbrtv/idm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fc696495dc7ec7afc32773464a141ae3b76e3c8b1f96218ef6462fe378b275c
- Size of remote file:
- 99.1 MB
- SHA256:
- acdef059f24b68c10d1a51db10778f1f6095c9b6ef9b6bf9bd158d71ed9d9077
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