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 training_args.bin from nealcly/detection-longformer: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/nealcly/detection-longformer/resolve/main/training_args.bin
- Command line
-
hf download hf://nealcly/detection-longformer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nealcly/detection-longformer/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- 0481a7e3ce3424b228414a97e4c130ed78de52b58010f0cedd84eeeb12f97fe8
- Size of remote file:
- 3.63 kB
- SHA256:
- 4bb41da29b2513ffa40049809d02a074e0d76156f778742aff9ed3611f34b5e4
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