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 3
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": 0.8625461254612546, "recall": 0.8964525407478428, "f1-score": 0.8791725434884815, "support": 1043.0}, "I": {"precision": 0.9557349825345015, "recall": 0.9619596541786744, "f1-score": 0.9588372159825352, "support": 17350.0}, "O": {"precision": 0.9282407407407407, "recall": 0.9127465857359636, "f1-score": 0.9204284621270084, "support": 9226.0}, "accuracy": 0.9430464535283681, "macro avg": {"precision": 0.9155072829121655, "recall": 0.9237195935541602, "f1-score": 0.9194794071993417, "support": 27619.0}, "weighted avg": {"precision": 0.9430314866542512, "recall": 0.9430464535283681, "f1-score": 0.9429985029052194, "support": 27619.0}}
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model.safetensors
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