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:
- 01646654becc54ad28a87476556326f208b8376bd30d11b817dd91acf79449d0
- Size of remote file:
- 1.88 GB
- SHA256:
- dbae70a61ed4c9d8c10e75545ff2118d6846f598313081dad816b8ac6b5c2960
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