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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:09309f7cc9e01c3e1bc69a2810b57426d14752b308a36a8cf425c1345126d954
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size 1736138748
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