Instructions to use fathyshalab/clinic-credit_cards-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fathyshalab/clinic-credit_cards-roberta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fathyshalab/clinic-credit_cards-roberta") 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/clinic-credit_cards-roberta with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fathyshalab/clinic-credit_cards-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b4bb60564ee9ea72e72b8df7326059d1726ef28f94fdaeb4161bb5c56e41a8
- Size of remote file:
- 124 kB
- SHA256:
- d4c925856986f8ef178a58a178ccc7375604cc21accce41bef04747e5414f49a
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