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
Commit History
-
Update README.md
Verified signature1cceed4 -
Upload model.py with huggingface_hub
Verified signaturebca76eb -
Upload config.json with huggingface_hub
Verified signature55bb496 -
chore: Update model to v13 (weights, config, definition)
Verified signatureb1accc9
-
Update README.md
Verified signatureb1708ca -
Update README.md
Verified signaturec1aafac -
Update README.md
Verified signatureeeeacda -
feat: Upload Python package structure and model artifacts
Verified signature24aa8bd -
Upload model.py with huggingface_hub
Verified signaturebc2410c -
Upload config.json with huggingface_hub
Verified signature1b41f80 -
Upload config.json with huggingface_hub
Verified signaturedf1ae39 -
feat: Upload anime2vec v12 model and artifacts
Verified signaturefb84cfa
-
Update README.md
Verified signaturee7d6130
-
Upload checkpoint.pth
Verified signature4e5563b -
initial commit
Verified signature5d8cdb7