Text Classification
sentence-transformers
Safetensors
English
hybrid-sentiment-classifier
sentiment-analysis
multiclass-classification
xgboost
reddit
hybrid-model
Instructions to use mahekgheewala/mahek-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mahekgheewala/mahek-sentiment with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mahekgheewala/mahek-sentiment") 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
File size: 155 Bytes
50f09b2 | 1 2 3 4 5 6 7 8 9 | sentence-transformers>=2.2.0 xgboost>=1.6.0 scikit-learn>=1.0.0 numpy>=1.21.0 pandas>=1.3.0 textblob>=0.17.0 nltk>=3.7 torch>=1.9.0 huggingface-hub>=0.10.0 |