Token Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use autoevaluate/entity-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/entity-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="autoevaluate/entity-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("autoevaluate/entity-extraction") model = AutoModelForTokenClassification.from_pretrained("autoevaluate/entity-extraction") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on conll2003
#4
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic evaluation service! Your model has been evaluated on the conll2003 dataset. Accept this pull request to see the results displayed on the Hub leaderboard. Evaluate your model on more datasets here.