Sentence Similarity
sentence-transformers
Safetensors
clip
feature-extraction
Generated from Trainer
dataset_size:326
loss:MultipleNegativesRankingLoss
Instructions to use abodeza/clip-ViT-B-32-leaf-disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use abodeza/clip-ViT-B-32-leaf-disease with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abodeza/clip-ViT-B-32-leaf-disease") sentences = [ "powdery_mildew", "rot", "rot", "spot" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K