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:
- c4d1fa21cce75f7962402265afac750bec9aaaea596b2fa58b5c5b1f7abd3e3f
- Size of remote file:
- 3.94 kB
- SHA256:
- 571464decbae3f9f7c7868039b28be75ff515051568bb4c769e3c4b746b42a0b
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