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
Training in progress, epoch 22
Browse files- meta_data/meta_s42_e50_cvi1.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi1.json
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{"B": {"precision": 0.8592115848753017, "recall": 0.9066213921901528, "f1-score": 0.882280049566295, "support": 1178.0}, "I": {"precision": 0.9404493229380386, "recall": 0.9701571511720197, "f1-score": 0.955072275035812, "support": 18899.0}, "O": {"precision": 0.9423198150872032, "recall": 0.881041257367387, "f1-score": 0.9106508274951772, "support": 10180.0}, "accuracy": 0.9377003668572562, "macro avg": {"precision": 0.9139935743001812, "recall": 0.9192732669098532, "f1-score": 0.9160010506990948, "support": 30257.0}, "weighted avg": {"precision": 0.9379158118378169, "recall": 0.9377003668572562, "f1-score": 0.9372926016522395, "support": 30257.0}}
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model.safetensors
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