Instructions to use fathyshalab/massive_lists-roberta-large-v1-5-91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fathyshalab/massive_lists-roberta-large-v1-5-91 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fathyshalab/massive_lists-roberta-large-v1-5-91") 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 fathyshalab/massive_lists-roberta-large-v1-5-91 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fathyshalab/massive_lists-roberta-large-v1-5-91") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81f5e74828edfd5d617d3f70aa08ae09b6b64e5a8784ebc20ebc4593a2aebc17
- Size of remote file:
- 1.42 GB
- SHA256:
- 1f6aab647d2bb30c6cc1db6256b7d5e7fc3e47386ca2df534c144e6ba8142a4d
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