Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-spans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-spans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-spans")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-spans") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-spans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1620/training_args.bin from Theoreticallyhugo/longformer-spans: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Theoreticallyhugo/longformer-spans/resolve/main/checkpoint-1620/training_args.bin
- Command line
-
hf download hf://Theoreticallyhugo/longformer-spans/checkpoint-1620/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Theoreticallyhugo/longformer-spans/resolve/main/checkpoint-1620/training_args.bin
4.86 kB
- Xet hash:
- feb288cf7520051da936738876f73fef3707b94ce4d8cf3dcea8be9c80043692
- Size of remote file:
- 4.86 kB
- SHA256:
- 1094850123635c13193a80398a7bb1e351dd871416d3ce265431b259bf603290
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