Text Classification
Transformers
Safetensors
English
roberta
legal
multi-label-classification
banking
consumer-protection
contract-analysis
clause-classification
risk-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use Agreemind/en-banking-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Agreemind/en-banking-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Agreemind/en-banking-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Agreemind/en-banking-roberta") model = AutoModelForSequenceClassification.from_pretrained("Agreemind/en-banking-roberta") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!