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 2
Browse files- meta_data/meta_s42_e4.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e4.json
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{"B": {"precision": 0.8126064735945485, "recall": 0.9008498583569405, "f1-score": 0.8544558889386475, "support": 1059.0}, "I": {"precision": 0.9468377121729875, "recall": 0.9617069701280228, "f1-score": 0.9542144187884605, "support": 17575.0}, "O": {"precision": 0.9307744259342638, "recall": 0.8915363881401617, "f1-score": 0.9107329698771959, "support": 9275.0}, "accuracy": 0.9360779676806765, "macro avg": {"precision": 0.8967395372339334, "recall": 0.918031072208375, "f1-score": 0.9064677592014346, "support": 27909.0}, "weighted avg": {"precision": 0.9364060284323041, "recall": 0.9360779676806765, "f1-score": 0.9359789133327677, "support": 27909.0}}
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model.safetensors
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