Instructions to use relevanthint/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relevanthint/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="relevanthint/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("relevanthint/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("relevanthint/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
be7aa3b -
Training complete
fdea48e -
Training in progress, epoch 3
7ffa389 -
Training in progress, epoch 2
84d7dfb -
Training in progress, epoch 1
cad7999 -
Training in progress, epoch 1
952d76c -
initial commit
047de7d