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 36
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": 0.8901960784313725, "recall": 0.8705656759348035, "f1-score": 0.8802714493456132, "support": 1043.0}, "I": {"precision": 0.9574089997133849, "recall": 0.9626512968299712, "f1-score": 0.9600229918091681, "support": 17350.0}, "O": {"precision": 0.9270264365304784, "recall": 0.9197918924777801, "f1-score": 0.9233949945593034, "support": 9226.0}, "accuracy": 0.9448568014772439, "macro avg": {"precision": 0.924877171558412, "recall": 0.9176696217475183, "f1-score": 0.9212298119046949, "support": 27619.0}, "weighted avg": {"precision": 0.9447216249053674, "recall": 0.9448568014772439, "f1-score": 0.944775851745562, "support": 27619.0}}
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model.safetensors
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