Instructions to use ethnmcl/ontask-participation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ethnmcl/ontask-participation-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ethnmcl/ontask-participation-classifier") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9044838ecc184f66a4b9cf7fd3fb3dcb53464f51003511c149ad7ac3001bce6b
- Size of remote file:
- 479 kB
- SHA256:
- 2a3a8fb34ff7e2ff64c8991659ddd22c0196a902894e6663ab595c4416a5751f
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