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")# pip install -U transformers accelerate # 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 50
Browse files- meta_data/meta_s42_e50_cvi4.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi4.json
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{"B": {"precision": 0.8831908831908832, "recall": 0.8916586768935763, "f1-score": 0.8874045801526719, "support": 1043.0}, "I": {"precision": 0.9586151553364668, "recall": 0.9639193083573487, "f1-score": 0.9612599149327509, "support": 17350.0}, "O": {"precision": 0.93125, "recall": 0.9205506178192066, "f1-score": 0.9258693993241034, "support": 9226.0}, "accuracy": 0.9467033563850972, "macro avg": {"precision": 0.92435201284245, "recall": 0.9253762010233771, "f1-score": 0.924844631469842, "support": 27619.0}, "weighted avg": {"precision": 0.9466256394603638, "recall": 0.9467033563850972, "f1-score": 0.9466488134742982, "support": 27619.0}}
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model.safetensors
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