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
File size: 458 Bytes
df82b58 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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"
} |