Instructions to use RichardScottOZ/cosmo-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RichardScottOZ/cosmo-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RichardScottOZ/cosmo-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] - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
Verified signatureSee for code changes from cosmo https://github.com/RichardScottOZ/Comic-Analysis/tree/main/src/cosmo fork of the original https://github.com/RichardScottOZ/CoSMo-ComicsPSS48269c3 -
Upload best_Multimodal MultiToken (siglip+OCR).pt
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Create best_Multimodal MultiToken (siglip+OCR).pt
Verified signatureCosmo v1 model details to come2f3831e -
Start of first trained CoSMo model
Verified signatureLoaded siglip_384 with feature dim 1152 Loaded Qwen/Qwen3-Embedding-0.6B with feature dim 1024034e96b -
initial commit
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