Instructions to use HamzaFarhan/InvoiceOrNot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HamzaFarhan/InvoiceOrNot with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HamzaFarhan/InvoiceOrNot") 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 HamzaFarhan/InvoiceOrNot with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HamzaFarhan/InvoiceOrNot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 403dead70c2b594538ca945678fd77b8778a4351ed62ed3d149e92f353285140
- Size of remote file:
- 438 MB
- SHA256:
- 6ab20d8d4d47db7693059b65c02cfbd4fc98a4d334e20e9087390057c04e43bc
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