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
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#2 opened over 3 years ago
by
autoevaluator
Add evaluation results on the conll2003 config and test split of conll2003
#1 opened over 3 years ago
by
autoevaluator