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
- Xet hash:
- 3753813c28f84b39fe35f1ec1197d3a0f39af6360cbab64e9bdb91566c1e7561
- Size of remote file:
- 1.45 MB
- SHA256:
- adae1345b73a91bb4b0f1811ad05edee8937d1121910d5d25f8ad86776829a29
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