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 25
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": 0.88124410933082, "recall": 0.8964525407478428, "f1-score": 0.8887832699619772, "support": 1043.0}, "I": {"precision": 0.9556860955857192, "recall": 0.9658213256484149, "f1-score": 0.9607269808508199, "support": 17350.0}, "O": {"precision": 0.9340647163120568, "recall": 0.9136137004118795, "f1-score": 0.9237260273972602, "support": 9226.0}, "accuracy": 0.9457619754516818, "macro avg": {"precision": 0.9236649737428652, "recall": 0.9252958556027124, "f1-score": 0.9244120927366858, "support": 27619.0}, "weighted avg": {"precision": 0.9456523566073828, "recall": 0.9457619754516818, "f1-score": 0.9456501103261954, "support": 27619.0}}
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model.safetensors
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