Feature Extraction
sentence-transformers
PyTorch
English
Ukrainian
Japanese
semantic-search
vector-arithmetic
anime
hikka
hikka-forge
2vec
Instructions to use Lorg0n/hikka-forge-anime2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lorg0n/hikka-forge-anime2vec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lorg0n/hikka-forge-anime2vec") 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
Upload checkpoint.pth
Browse files- checkpoint.pth +3 -0
checkpoint.pth
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