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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
7f98a5a -
allow flax
4907763
-
Update config.json
24c25cb -
Update special_tokens_map.json
346ce78 -
Update eval_results.txt
863ca23 -
Update vocab.txt
dac243f -
Update tokenizer_config.json
f09aaf9 -
Update training_args.bin
096bda9 -
Update pytorch_model.bin
cb852ba -
initial commit
9c9cbd5