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 16
Browse files- meta_data/meta_s42_e20_cvi0.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e20_cvi0.json
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{"B": {"precision": 0.8621291448516579, "recall": 0.8720211827007943, "f1-score": 0.8670469504168494, "support": 1133.0}, "I": {"precision": 0.9403208556149732, "recall": 0.9591447117220313, "f1-score": 0.949639510706667, "support": 18333.0}, "O": {"precision": 0.917685497470489, "recall": 0.8823469801378192, "f1-score": 0.8996693531721429, "support": 9868.0}, "accuracy": 0.9299447739824095, "macro avg": {"precision": 0.9067118326457067, "recall": 0.9045042915202149, "f1-score": 0.9054519380985532, "support": 29334.0}, "weighted avg": {"precision": 0.9296862022276206, "recall": 0.9299447739824095, "f1-score": 0.9296394123443894, "support": 29334.0}}
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model.safetensors
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