Token Classification
Transformers
Safetensors
English
modernbert
semantic-highlighting
extractive-qa
evidence-selection
acl-anthology
custom_code
Instructions to use KRLabsOrg/acl-verbatim-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRLabsOrg/acl-verbatim-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KRLabsOrg/acl-verbatim-modernbert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KRLabsOrg/acl-verbatim-modernbert", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("KRLabsOrg/acl-verbatim-modernbert", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle