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 training_args.bin from brad1141/Longformer_v5: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/brad1141/Longformer_v5/resolve/main/training_args.bin
- Command line
-
hf download hf://brad1141/Longformer_v5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/brad1141/Longformer_v5/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 95c3eb4e2e8bbb73f066f50cc8815e5b0e999980f4c0e1d8c6b9f472ff38fa3e
- Size of remote file:
- 2.99 kB
- SHA256:
- 05ade868b5011aabb285559817f1f98991bd94e8161c1110855950c30eae9454
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