Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

VQA-DeepLearning
/
gemma_2_lora_E2b

Transformers
Safetensors
Generated from Trainer
unsloth
sft
trl
Model card Files Files and versions
xet
Community

Instructions to use VQA-DeepLearning/gemma_2_lora_E2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VQA-DeepLearning/gemma_2_lora_E2b with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("VQA-DeepLearning/gemma_2_lora_E2b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
gemma_2_lora_E2b / eval
15 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
HoangVuSnape's picture
HoangVuSnape
Upload eval/inference_50_balanced_gemma_E2B.csv with huggingface_hub
84d648a verified about 2 months ago
  • inference_50.csv
    5.38 kB
    Upload 1 file(s) about 2 months ago
  • inference_50_balanced_gemma_E2B.csv
    8.18 kB
    Upload eval/inference_50_balanced_gemma_E2B.csv with huggingface_hub about 2 months ago
  • radimagenet_metrics.json
    686 Bytes
    Upload 1 file(s) about 2 months ago
  • vqarad_metrics.json
    710 Bytes
    Upload 1 file(s) about 2 months ago