Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Eval Results (legacy)
Instructions to use Gladiator/microsoft-deberta-v3-large_ner_conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gladiator/microsoft-deberta-v3-large_ner_conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gladiator/microsoft-deberta-v3-large_ner_conll2003")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gladiator/microsoft-deberta-v3-large_ner_conll2003") model = AutoModelForTokenClassification.from_pretrained("Gladiator/microsoft-deberta-v3-large_ner_conll2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (33f3576d3eef607c3fa83f229dec33e214482451) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3f25327
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update model card README.md
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End of training
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Training in progress, epoch 5
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Training in progress, epoch 3
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Training in progress, epoch 1
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initial commit
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