Instructions to use OrcaDB/clip-ViT-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use OrcaDB/clip-ViT-L-14 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OrcaDB/clip-ViT-L-14") 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
Download merges.txt from OrcaDB/clip-ViT-L-14: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
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https://huggingface.co/OrcaDB/clip-ViT-L-14/resolve/main/merges.txt
- Command line
-
hf download hf://OrcaDB/clip-ViT-L-14/merges.txt
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curl -L -o merges.txt https://huggingface.co/OrcaDB/clip-ViT-L-14/resolve/main/merges.txt
525 kB
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