Instructions to use brad1141/Longformer_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brad1141/Longformer_v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brad1141/Longformer_v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brad1141/Longformer_v5") model = AutoModelForTokenClassification.from_pretrained("brad1141/Longformer_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from brad1141/Longformer_v5: direct link, hf CLI and curl.
- Browser
- Download file 592 MB
-
https://huggingface.co/brad1141/Longformer_v5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://brad1141/Longformer_v5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/brad1141/Longformer_v5/resolve/main/pytorch_model.bin
592 MB
- Xet hash:
- 137cd779bbd4d0d5853321c52efd2c5fc5ddee2e7a0f1ab5ea66d9ecc47742d7
- Size of remote file:
- 592 MB
- SHA256:
- b6083b64c2ea3421380eacab44fd103cbe13267a4e987e048243c229319d31a9
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