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
Update README.md
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README.md
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license: mit
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---
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license: mit
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language:
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- en
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- uk
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- ja
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library_name: pytorch
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tags:
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- anime
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- recommender-system
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- sentence-similarity
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- metric-learning
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- feature-extraction
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pipeline_tag: feature-extraction
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---
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