Instructions to use 51la5/distilbert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/distilbert-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="51la5/distilbert-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("51la5/distilbert-base-NER") model = AutoModelForTokenClassification.from_pretrained("51la5/distilbert-base-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 @aniketrawat97 , 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.