Instructions to use babblebots/short-answer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use babblebots/short-answer-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("babblebots/short-answer-v1") 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 babblebots/short-answer-v1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("babblebots/short-answer-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22087f40a7e3e51a891caf59c344f15aa772eb161727495f860d23cd813380ad
- Size of remote file:
- 438 MB
- SHA256:
- e5ca907b60241ad56b04a3147794915133fbdf64cf47e4b4dbb5a4867da5ba1a
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