Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Saliltrehan7/setfit-bge-small-v1.5-sst2-8-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use Saliltrehan7/setfit-bge-small-v1.5-sst2-8-shot with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Saliltrehan7/setfit-bge-small-v1.5-sst2-8-shot") - sentence-transformers
How to use Saliltrehan7/setfit-bge-small-v1.5-sst2-8-shot with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Saliltrehan7/setfit-bge-small-v1.5-sst2-8-shot") 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: 134 Bytes
845c7d5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:44d570961c536e74e6aaa5fd35ff99e70e57ec6098eaafc82b1b174a381bb415
size 133462128
|