Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta
Generated from Trainer
Eval Results (legacy)
Instructions to use baptiste/deberta-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baptiste/deberta-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="baptiste/deberta-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("baptiste/deberta-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("baptiste/deberta-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the conll2003 config and test split of conll2003
#1
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the conll2003 config and test split of the conll2003 dataset by @lewtun , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
baptiste changed pull request status to merged