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ManyCamDS
/
ToarimEmbedder

Feature Extraction
Transformers
Safetensors
Spanish
English
toarim
sentence-similarity
stateful-embeddings
nested-learning
rag
industrial-rag
cpu-optimized
sherman-morrison
low-rank-svd
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ManyCamDS/ToarimEmbedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ManyCamDS/ToarimEmbedder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ManyCamDS/ToarimEmbedder", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ManyCamDS/ToarimEmbedder", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ToarimEmbedder
98 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
ManyCamDS's picture
ManyCamDS
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  • .gitattributes
    133 Bytes
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  • README.md
    10.3 kB
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  • config.json
    241 Bytes
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  • model.safetensors
    97.2 MB
    xet
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  • toarim_embedder.py
    22.8 kB
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  • tokenizer.json
    711 kB
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