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 ONNX file of this model
#3 opened 9 months ago
by
mihass
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot