Text Classification
Transformers
Safetensors
English
longformer
legal
document-classification
multi-class-classification
msme
dispute-resolution
indian-legal
Instructions to use abhinavdread/msme-legal-dispute-classifier-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinavdread/msme-legal-dispute-classifier-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abhinavdread/msme-legal-dispute-classifier-longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abhinavdread/msme-legal-dispute-classifier-longformer") model = AutoModelForSequenceClassification.from_pretrained("abhinavdread/msme-legal-dispute-classifier-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 141 Bytes
a89d4bd | 1 | {"01_delayed_payment": 0, "02_quality_dispute": 1, "03_no_contract": 2, "04_partial_payment": 3, "05_govt_delay": 4, "06_service_dispute": 5} |