Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use gamaly/maritime-intelligence-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use gamaly/maritime-intelligence-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("gamaly/maritime-intelligence-classifier") - sentence-transformers
How to use gamaly/maritime-intelligence-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gamaly/maritime-intelligence-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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3f80a1d5bebf8a769f4a0c0948f9e408e06e8e571b4f6c28a895996826c2691
- Size of remote file:
- 90.9 MB
- SHA256:
- 509d258389fdbcd314ff905a4fd2347125f3c18ab163458d3d22402f26a164cc
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