Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use tg1482/setfit-safety-classifier-lda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use tg1482/setfit-safety-classifier-lda with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("tg1482/setfit-safety-classifier-lda") - sentence-transformers
How to use tg1482/setfit-safety-classifier-lda with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tg1482/setfit-safety-classifier-lda") 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
File size: 199 Bytes
5ee28f7 | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "3.3.1",
"transformers": "4.47.1",
"pytorch": "2.5.1"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |