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:
- 2ec8dfcd1eea8bd621b14431ddc413a04839465b63f7d896792de752e17076ac
- Size of remote file:
- 438 MB
- SHA256:
- 929a737391bf2687d21d7180e703c9d15c414d855baa78a586f2bc15f1278b2f
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