Instructions to use fathyshalab/massive_datetime-roberta-large-v1-2-0.82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fathyshalab/massive_datetime-roberta-large-v1-2-0.82 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fathyshalab/massive_datetime-roberta-large-v1-2-0.82") 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_datetime-roberta-large-v1-2-0.82 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fathyshalab/massive_datetime-roberta-large-v1-2-0.82") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f69c597e5401ab5f9e35e73d4047995b497c9229447a655c38601fd4e3eb262
- Size of remote file:
- 1.42 GB
- SHA256:
- 89968fb23c31a2678748fb14ce482fbcc0bf31c08b0679ed05056dc75d01df57
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