Text Classification
setfit
Safetensors
sentence-transformers
multilingual
xlm-roberta
text-embeddings-inference
Instructions to use automatedMotiveCoder/setfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use automatedMotiveCoder/setfit with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("automatedMotiveCoder/setfit") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use automatedMotiveCoder/setfit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("automatedMotiveCoder/setfit") 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
Commit History
-
Update README.md
Verified signatureeba310d
-
Update README.md
Verified signaturedea7f2b
-
Update README.md
Verified signature17c31f7
-
Update README.md
Verified signature54f639b
-
Update README.md
Verified signature8f5af5e -
Update README.md
Verified signature9c3b72c
-
Update README.md
Verified signature990b366 -
Update README.md
Verified signature6d8ccba -
Update README.md
Verified signature025706d -
Push model using huggingface_hub.
Verified signature738833d
-
Update README.md
Verified signature96e5eae -
Push model using huggingface_hub.
Verified signaturec7afa11 -
Push model using huggingface_hub.
Verified signature4aad08d
-
Push model using huggingface_hub.
Verified signaturec2efe65
-
Push model using huggingface_hub.
Verified signature89913ca -
Push model using huggingface_hub.
Verified signature01221ff -
Push model using huggingface_hub.
Verified signatureefa8b77 -
initial commit
Verified signature2fc1b39