Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use adriansanz/gret4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use adriansanz/gret4 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("adriansanz/gret4") - sentence-transformers
How to use adriansanz/gret4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adriansanz/gret4") 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:
- 5cac46daf9ea9767938842e3aa7170e6488e39fbc35d4f4ee6c77ebfc63cd150
- Size of remote file:
- 7.01 kB
- SHA256:
- e26b630e5ff29946344dcaff8c0361cbe036fdaaf2dcf16e8f502c1b9d86108d
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