Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use HelgeKn/Testing-blub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use HelgeKn/Testing-blub with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HelgeKn/Testing-blub") - sentence-transformers
How to use HelgeKn/Testing-blub with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HelgeKn/Testing-blub") 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:
- 3d099a7c916aefd9ec1185e21de890e9ff1df7f4bfd0bf7d75a24f4e12dc3465
- Size of remote file:
- 13.8 kB
- SHA256:
- e2be452d6d299b3f58b73569138485e1e31bf5342e80edb853f597cbd7c26ab5
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