Instructions to use CATIE-AQ/NERmembert-large-3entities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/NERmembert-large-3entities with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CATIE-AQ/NERmembert-large-3entities")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/NERmembert-large-3entities") model = AutoModelForTokenClassification.from_pretrained("CATIE-AQ/NERmembert-large-3entities", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CATIE-AQ/NERmembert-large-3entities: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/CATIE-AQ/NERmembert-large-3entities/resolve/46a8d23e5a85f321a4f9b3b0c5505cc7badd2107/tokenizer.json
- Command line
-
hf download hf://CATIE-AQ/NERmembert-large-3entities@46a8d23e5a85f321a4f9b3b0c5505cc7badd2107/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CATIE-AQ/NERmembert-large-3entities/resolve/46a8d23e5a85f321a4f9b3b0c5505cc7badd2107/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.