Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use dindanurdz/text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use dindanurdz/text_classification_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dindanurdz/text_classification_model") - sentence-transformers
How to use dindanurdz/text_classification_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dindanurdz/text_classification_model") 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:
- 529bd72b949af57aa89230c3b45e3474081037df7413299387b43e172351b7a4
- Size of remote file:
- 3.94 kB
- SHA256:
- 3827ed359b813001ad15e291083878ea86437d79f93470330cbd42ae56064c5f
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