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FastFlowLM
/
Gemma4-E2B-IT-NPU2

Any-to-Any
Transformers
gemma4_text
image-text-to-text
Model card Files Files and versions
xet
Community
1

Instructions to use FastFlowLM/Gemma4-E2B-IT-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FastFlowLM/Gemma4-E2B-IT-NPU2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("FastFlowLM/Gemma4-E2B-IT-NPU2")
    model = AutoModelForImageTextToText.from_pretrained("FastFlowLM/Gemma4-E2B-IT-NPU2")
  • Notebooks
  • Google Colab
  • Kaggle
Gemma4-E2B-IT-NPU2
5.99 GB
Ctrl+K
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  • 3 contributors
History: 7 commits
FastFlowLM's picture
FastFlowLM
Create README.md
79501b0 verified about 1 month ago
  • .gitattributes
    1.67 kB
    feat: init_commit about 1 month ago
  • README.md
    26.7 kB
    Create README.md about 1 month ago
  • audio_weight.q4nx
    952 MB
    xet
    feat: add audio weights about 1 month ago
  • chat_template.jinja
    11.9 kB
    feat: init_commit about 1 month ago
  • config.json
    7.53 kB
    Update config.json (#1) about 1 month ago
  • model.q4nx
    4.67 GB
    xet
    feat: Q8_0 embedding about 1 month ago
  • tokenizer.json
    32.2 MB
    xet
    feat: init_commit about 1 month ago
  • tokenizer_config.json
    2.14 kB
    xet
    feat: init_commit about 1 month ago
  • vision_weight.q4nx
    337 MB
    xet
    feat: init_commit about 1 month ago