Token Classification
Transformers
Safetensors
English
bert
financial-nlp
named-entity-recognition
sequence-labeling
finance
Instructions to use AAU-NLP/Lite-BERT-SL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AAU-NLP/Lite-BERT-SL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AAU-NLP/Lite-BERT-SL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AAU-NLP/Lite-BERT-SL") model = AutoModelForTokenClassification.from_pretrained("AAU-NLP/Lite-BERT-SL") - Notebooks
- Google Colab
- Kaggle
Add paper information and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves the model card for Lite-BERT-SL by:
- Linking the model to the associated research paper: HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings.
- Adding the
licensemetadata (cc-by-4.0). - Refining the model description and adding a citation section.
- Updating tags and metadata to improve discoverability.
rasmus-aau changed pull request status to merged