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 4
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": 0.8254931714719271, "recall": 0.9235993208828522, "f1-score": 0.8717948717948719, "support": 1178.0}, "I": {"precision": 0.9374586871408959, "recall": 0.9755542621302714, "f1-score": 0.9561271586371415, "support": 18899.0}, "O": {"precision": 0.956427955133736, "recall": 0.8711198428290766, "f1-score": 0.9117828500925355, "support": 10180.0}, "accuracy": 0.9383944211256899, "macro avg": {"precision": 0.9064599379155197, "recall": 0.9234244752807333, "f1-score": 0.9132349601748496, "support": 30257.0}, "weighted avg": {"precision": 0.9394817486046585, "recall": 0.9383944211256899, "f1-score": 0.9379241479327001, "support": 30257.0}}
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model.safetensors
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