Text Classification
Joblib
sentence-transformers
Nepali
English
scikit-learn
hybrid-model
logistic-regression
sbert
ne-en
rule-based
text-priority
low-resource-nlp
multilingual
civictech
complaint-triage
emergency-detection
Instructions to use HighOnCaffiene/grievance-priority-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HighOnCaffiene/grievance-priority-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HighOnCaffiene/grievance-priority-classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle