Instructions to use mario-d-robot/clip-ViT-B-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mario-d-robot/clip-ViT-B-32 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mario-d-robot/clip-ViT-B-32") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57fe1319d988e37d3da2bddac58a31b3412c657ed0379a60260053a2f0095539
- Size of remote file:
- 605 MB
- SHA256:
- a62934cf6216e42859223aed2df08b4f1bd0042cb31be80d2db5cd54f71c0d16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.