Instructions to use nielsr/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nielsr/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nielsr/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("nielsr/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
This is a BERT model fine-tuned on a named-entity recognition (NER) dataset.
The notebook that was used to create this model can be found here: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/BERT/Custom_Named_Entity_Recognition_with_BERT.ipynb
- Downloads last month
- 14