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 49
Browse files- meta_data/meta_s42_e50_cvi0.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi0.json
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{"B": {"precision": 0.8511354079058032, "recall": 0.8932038834951457, "f1-score": 0.8716623600344531, "support": 1133.0}, "I": {"precision": 0.9361330297092623, "recall": 0.9642175312278405, "f1-score": 0.9499677558039552, "support": 18333.0}, "O": {"precision": 0.9287410926365796, "recall": 0.8717065261451156, "f1-score": 0.8993204391008887, "support": 9868.0}, "accuracy": 0.930353855594191, "macro avg": {"precision": 0.9053365100838816, "recall": 0.9097093136227006, "f1-score": 0.906983518313099, "support": 29334.0}, "weighted avg": {"precision": 0.9303634128640809, "recall": 0.930353855594191, "f1-score": 0.9299054480848339, "support": 29334.0}}
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model.safetensors
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