Instructions to use fathyshalab/reklambox2-8-17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fathyshalab/reklambox2-8-17 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fathyshalab/reklambox2-8-17") 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 fathyshalab/reklambox2-8-17 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fathyshalab/reklambox2-8-17") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2fc371a577da9a47ad2d532111a8ccc1479d3c312e896400c7235c7d9589109
- Size of remote file:
- 1.11 GB
- SHA256:
- cb0b01e34b7f8d8c6f679ccfae57f0d10d18eb942e7de8c171be12746bc6c3e2
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