Instructions to use kimnt93/query-cls-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kimnt93/query-cls-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kimnt93/query-cls-ft") 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 kimnt93/query-cls-ft with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("kimnt93/query-cls-ft") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:773699b96fe119b8f954f96581c934e767bda5200b38819d474538b1bddaab48
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size 1112197096
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