Instructions to use NovaSearch/jasper_en_vision_language_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use NovaSearch/jasper_en_vision_language_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NovaSearch/jasper_en_vision_language_v1", trust_remote_code=True) 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
Add Sentence Transformers tag for better findability
#2
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Add a Sentence Transformers tag
Details
This should make it a bit easier to find this model when looking for embedding models under https://huggingface.co/models?library=sentence-transformers
- Tom Aarsen
tomaarsen changed pull request status to open
tomaarsen changed pull request title from Set library_name as Sentence Transformers for better findability to Add Sentence Transformers tag for better findability
infgrad changed pull request status to merged