Instructions to use pyofpython/citizen-grievance-classifier-muril with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyofpython/citizen-grievance-classifier-muril with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pyofpython/citizen-grievance-classifier-muril")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pyofpython/citizen-grievance-classifier-muril") model = AutoModelForSequenceClassification.from_pretrained("pyofpython/citizen-grievance-classifier-muril", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "0": "Banking & Financial Services", | |
| "1": "Corruption & Bribery", | |
| "2": "Education & Schools", | |
| "3": "Electricity", | |
| "4": "Employment & Labour", | |
| "5": "Healthcare & Hospitals", | |
| "6": "Land Records & Revenue", | |
| "7": "Municipal Certificates", | |
| "8": "Pension & Provident Fund", | |
| "9": "Police & Law and Order", | |
| "10": "Ration & Public Distribution System", | |
| "11": "Roads & Infrastructure", | |
| "12": "Sanitation & Garbage", | |
| "13": "Water Supply" | |
| } |