Instructions to use fathyshalab/reklama-8-75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fathyshalab/reklama-8-75 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fathyshalab/reklama-8-75") 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/reklama-8-75 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fathyshalab/reklama-8-75") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fathyshalab/reklama-8-75: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/fathyshalab/reklama-8-75/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fathyshalab/reklama-8-75/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fathyshalab/reklama-8-75/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 00190ff256da893d83c953e2371b00bc9208a0eb7b00da40a6069d5cd2b63b30
- Size of remote file:
- 499 MB
- SHA256:
- 1997cb794587f79d29d7eb7f867ec1ddff9ff7052198270da870d383a5156b02
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