sentence-transformers
Safetensors
setfit
English
bert
dlp
data-loss-prevention
pii
security
spidercob
Eval Results (legacy)
Instructions to use Sumeetgpt/dlp-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sumeetgpt/dlp-intent-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sumeetgpt/dlp-intent-classifier") 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 Sumeetgpt/dlp-intent-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Sumeetgpt/dlp-intent-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5dc3b7ded13930caecca74092e3fb497860dba72522a2599b005edefc9cc5ca
- Size of remote file:
- 13.2 kB
- SHA256:
- cd194ba5510c80875e3bc7410e42cf51490be7be3eba79ccbbb5e8a86cb72346
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