Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use Northell/ros-classifiers-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use Northell/ros-classifiers-experimental with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Northell/ros-classifiers-experimental") - sentence-transformers
How to use Northell/ros-classifiers-experimental with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Northell/ros-classifiers-experimental") 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:
- ad576f874b2f6e6887dcf14cc3ef47fd1b80d44bec6b6541336e88c047db14ff
- Size of remote file:
- 438 MB
- SHA256:
- 11d801bac1b95219e0ef658eb16d782ff712888116b0d84b8747db977047644f
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