Instructions to use jdavit/bert-finetuned-ner-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jdavit/bert-finetuned-ner-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jdavit/bert-finetuned-ner-21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jdavit/bert-finetuned-ner-21") model = AutoModelForTokenClassification.from_pretrained("jdavit/bert-finetuned-ner-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jdavit/bert-finetuned-ner-21: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/jdavit/bert-finetuned-ner-21/resolve/main/tokenizer.json
- Command line
-
hf download hf://jdavit/bert-finetuned-ner-21/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jdavit/bert-finetuned-ner-21/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.