Instructions to use bowphs/SPhilBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bowphs/SPhilBerta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bowphs/SPhilBerta") 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:
- a3b359464fd767b9382a9dc6f1b5291bfb097814b16f169f508297a83aac16fd
- Size of remote file:
- 541 MB
- SHA256:
- 214b1e4c53d787eb6254ea9dbfe47cea89021b3978a1f87a77a343403a36fab9
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