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baselabs
/
mammoth-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
1

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

  • Libraries
  • Transformers

    How to use baselabs/mammoth-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="baselabs/mammoth-1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("baselabs/mammoth-1")
    model = AutoModelForMultimodalLM.from_pretrained("baselabs/mammoth-1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mammoth-1
54.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
mkirkby's picture
mkirkby
Update README.md
03007ab verified about 4 hours ago
  • assets
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  • .gitattributes
    1.62 kB
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  • README.md
    5.3 kB
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  • chat_template.jinja
    7.76 kB
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  • config.json
    3.96 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
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  • model-00001-of-00002.safetensors
    49.8 GB
    xet
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  • model-00002-of-00002.safetensors
    4.89 GB
    xet
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  • model.safetensors.index.json
    111 kB
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  • processor_config.json
    1.22 kB
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  • readout.json
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  • serve.patch
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  • setup.sh
    1.29 kB
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
    1.51 kB
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