Text Classification
setfit
Safetensors
sentence-transformers
modernbert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use shwet-docket/setfit-paraphrase-mpnet-base-v2-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use shwet-docket/setfit-paraphrase-mpnet-base-v2-sst2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("shwet-docket/setfit-paraphrase-mpnet-base-v2-sst2") - sentence-transformers
How to use shwet-docket/setfit-paraphrase-mpnet-base-v2-sst2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shwet-docket/setfit-paraphrase-mpnet-base-v2-sst2") 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: 85 Bytes
5fefcca | 1 2 3 4 5 6 7 | {
"normalize_embeddings": false,
"labels": [
"negative",
"positive"
]
} |