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 12
Browse files- meta_data/meta_s42_e16_cvi0.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e16_cvi0.json
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{"B": {"precision": 0.8272208638956805, "recall": 0.8958517210944396, "f1-score": 0.8601694915254238, "support": 1133.0}, "I": {"precision": 0.9282784730255548, "recall": 0.9629629629629629, "f1-score": 0.9453026692725763, "support": 18333.0}, "O": {"precision": 0.9263945428539994, "recall": 0.8532630725577625, "f1-score": 0.8883262119533682, "support": 9868.0}, "accuracy": 0.9234676484625349, "macro avg": {"precision": 0.8939646265917448, "recall": 0.9040259188717217, "f1-score": 0.8979327909171229, "support": 29334.0}, "weighted avg": {"precision": 0.923741454750616, "recall": 0.9234676484625349, "f1-score": 0.9228475124165911, "support": 29334.0}}
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model.safetensors
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