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nphearum
/
Gemma-4-e2b-khmer-improved

Question Answering
Transformers
Safetensors
English
Khmer
gemma4
image-text-to-text
text-generation-inference
unsloth
khmer
Model card Files Files and versions
xet
Community

Instructions to use nphearum/Gemma-4-e2b-khmer-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nphearum/Gemma-4-e2b-khmer-improved with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="nphearum/Gemma-4-e2b-khmer-improved")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("nphearum/Gemma-4-e2b-khmer-improved")
    model = AutoModelForMultimodalLM.from_pretrained("nphearum/Gemma-4-e2b-khmer-improved", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
Gemma-4-e2b-khmer-improved
10.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
nphearum's picture
nphearum
Update README.md
fdc6067 verified 4 months ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) 4 months ago
  • README.md
    751 Bytes
    Update README.md 4 months ago
  • chat_template.jinja
    11.9 kB
    (Trained with Unsloth) 4 months ago
  • config.json
    5.92 kB
    (Trained with Unsloth) 4 months ago
  • model.safetensors
    10.2 GB
    xet
    (Trained with Unsloth) 4 months ago
  • processor_config.json
    1.69 kB
    (Trained with Unsloth) 4 months ago
  • tokenizer.json
    32.2 MB
    xet
    (Trained with Unsloth) 4 months ago
  • tokenizer_config.json
    14.9 kB
    (Trained with Unsloth) 4 months ago