Instructions to use tonetrn/aaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tonetrn/aaaaa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tonetrn/aaaaa") 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
Create README.md
Browse files
README.md
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---
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license: intel-research
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datasets:
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- sshao0516/CrowdHuman
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language:
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- en
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metrics:
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- Drunper/metrica_tesi
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base_model:
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- AiAsistent/xthos-v2-the-sovereign-architect
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pipeline_tag: zero-shot-classification
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library_name: sentence-transformers
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tags:
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- art
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---
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