Instructions to use EssenceSentry/clothing_category_classifier_setfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use EssenceSentry/clothing_category_classifier_setfit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EssenceSentry/clothing_category_classifier_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] - setfit
How to use EssenceSentry/clothing_category_classifier_setfit with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("EssenceSentry/clothing_category_classifier_setfit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66e7d62dc4b9f3dd342eabd6131120af1e5fbe714d0d109047ec3e9d205be694
- Size of remote file:
- 438 MB
- SHA256:
- cb097f07072ad49fa2f3e6e5b29f5ff24bec373c9abaa69ac32ec1aca5e5b567
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