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 tokenizer_config.json from nealcly/detection-longformer: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/nealcly/detection-longformer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://nealcly/detection-longformer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/nealcly/detection-longformer/resolve/main/tokenizer_config.json
377 Bytes
- Xet hash:
- 82bb7b25d87b3e60ae3ce6067c385385b8bbde60f52efd8d51fc49521f796ca3
- Size of remote file:
- 377 Bytes
- SHA256:
- e667b8a2c557b7012bfdec7dd4cbb6066cf6ec9069f0515db0c4fc8cdb162c0f
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