Instructions to use sud977/banking-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sud977/banking-intent-classification with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sud977/banking-intent-classification") 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 sud977/banking-intent-classification with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("sud977/banking-intent-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32e483edcbab3d8fd019e02fa1e99369e9bfefc71b551df293987b1da3a9dcc7
- Size of remote file:
- 475 kB
- SHA256:
- a06e08245dd427ad4a38a77f6bdcb78066c27526131f98482c780b9b4f4dbb9c
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