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baselabs
/
elephant-1

Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
baseten
Model card Files Files and versions
xet
Community
2

Instructions to use baselabs/elephant-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baselabs/elephant-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="baselabs/elephant-1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("baselabs/elephant-1")
    model = AutoModelForMultimodalLM.from_pretrained("baselabs/elephant-1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
elephant-1
18.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
mkirkby's picture
mkirkby
Update README.md
c54a55c verified about 8 hours ago
  • assets
    Add model card banner about 8 hours ago
  • .gitattributes
    1.62 kB
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  • README.md
    5.31 kB
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  • chat_template.jinja
    7.76 kB
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  • config.json
    3.15 kB
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  • constraints.txt
    1.42 kB
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  • engine.py
    2.8 kB
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  • generation_config.json
    116 Bytes
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  • model.safetensors
    18.8 GB
    xet
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  • processor_config.json
    1.22 kB
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  • readout.json
    63 Bytes
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  • serve.patch
    41 kB
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  • setup.sh
    1.29 kB
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
    1.51 kB
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