Instructions to use beatrizfarias/bert-crf-ner-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beatrizfarias/bert-crf-ner-conll2003 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beatrizfarias/bert-crf-ner-conll2003", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a767e0a9300246fa1e5edb99ad51d6a014cd2ab06ec6da624a8370f01b3f01
- Size of remote file:
- 433 MB
- SHA256:
- ceab5481db2d1b722185490e7e5f3f283e1f0151874d4479184fd346ef926f3c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.