Instructions to use vera-pro/bert-mention-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vera-pro/bert-mention-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vera-pro/bert-mention-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vera-pro/bert-mention-en") model = AutoModelForTokenClassification.from_pretrained("vera-pro/bert-mention-en") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7f98a5a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9ec0098585647353075c81009eb0b6d7da6cbce902ba3d3ac45493dc5d2b1110
size 430895090
|