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slow-stack
/
laya-nli-memory-conflict

Text Classification
Transformers
Safetensors
Laya
system-one
typed-decisions
nli
memory-conflict
multilingual
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use slow-stack/laya-nli-memory-conflict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slow-stack/laya-nli-memory-conflict with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="slow-stack/laya-nli-memory-conflict")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("slow-stack/laya-nli-memory-conflict", device_map="auto")
  • Laya

    How to use slow-stack/laya-nli-memory-conflict with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
laya-nli-memory-conflict
678 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
Modusensus's picture
Modusensus
docs: point namespace references at the slow-stack organization
4d016a5 verified about 11 hours ago
  • encoder
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  • tokenizer
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  • .gitattributes
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  • README.md
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    docs: point namespace references at the slow-stack organization about 11 hours ago
  • metrics.json
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  • model.safetensors
    644 MB
    xet
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  • rl_agent_config.json
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