Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
multilingual
distilbert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/clip-ViT-B-32-multilingual-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/clip-ViT-B-32-multilingual-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/clip-ViT-B-32-multilingual-v1") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
no gguf format?
#11 opened 8 months ago
by
kalle07
Multilingual model for clip-ViT-L-14
#10 opened about 1 year ago
by
davidsitsky
The current pytorch doesn't support Nvidia H100 sm90 driver, can it be updated.
#9 opened over 1 year ago
by
djjeffr
Adding ONNX file of this model
#8 opened about 2 years ago
by
yashvardhan7
Hugging face API and image embedding
#6 opened about 2 years ago
by
kovalensue
Exporting model with optimum, but optimum does not take pooling and dense layers into account.
3
#4 opened over 2 years ago
by
canavar
Add Core ML conversion
👍 1
#3 opened almost 3 years ago
by
maymli
What is the need of separate initialization for img_model and text_model?
🔥 2
#2 opened over 3 years ago
by
gokulkarthik
Update README.md
#1 opened over 3 years ago
by
lbourdois