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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nealcly/detection-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nealcly/detection-longformer: direct link, hf CLI and curl.
- Browser
- Download file 595 MB
-
https://huggingface.co/nealcly/detection-longformer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nealcly/detection-longformer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nealcly/detection-longformer/resolve/main/pytorch_model.bin
595 MB
- Xet hash:
- 86624b7f59a11ea0ccc6af3294da54f7b2e63fc6242759a3bdd736776c48baf0
- Size of remote file:
- 595 MB
- SHA256:
- 99b8df5eff67a96c9cd47c53bd914d31dd80bbe9a3c3b8b5fb101c60458a03bf
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