Instructions to use HasinMDG/SetFit_Labse_IPTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HasinMDG/SetFit_Labse_IPTC with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HasinMDG/SetFit_Labse_IPTC") 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 HasinMDG/SetFit_Labse_IPTC with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HasinMDG/SetFit_Labse_IPTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c3cc372b0344a2d2944cb35cf8e9072d6e17ddef17e7af2dcd4f147d5050937
- Size of remote file:
- 395 kB
- SHA256:
- 406e7a1d632c5acbc88a0bf4487329c5144850f7b157d175cf2d63f97c8b35f1
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