Instructions to use nealcly/detection-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nealcly/detection-longformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nealcly/detection-longformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1c0612d67da171b44a19b6d16b3f7c859cc231cdadeac457c17bdd4e5b273a0
- Size of remote file:
- 1.16 kB
- SHA256:
- ce51c2bbfd353433e384ea042883ef20a67c458aa3f8d88b95fc582728382328
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