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amaan784
/
trained-eye

Image-Text-to-Text
PEFT
Safetensors
English
muse_glimmer
trained-eye
qlora
lora
axolotl
smart-glasses
egocentric-vision
conversational
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use amaan784/trained-eye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use amaan784/trained-eye with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-models/Muse-Glimmer-30B")
    model = PeftModel.from_pretrained(base_model, "amaan784/trained-eye")
  • Notebooks
  • Google Colab
  • Kaggle
trained-eye
796 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
amaan784's picture
amaan784
Trained Eye release product
ee660e3 verified about 6 hours ago
  • manifests
    Trained Eye release product about 6 hours ago
  • .gitattributes
    1.57 kB
    Trained Eye release product about 6 hours ago
  • LICENSE
    11.4 kB
    Trained Eye release product about 6 hours ago
  • README.md
    13.1 kB
    Trained Eye release product about 6 hours ago
  • adapter_config.json
    1.15 kB
    Trained Eye release product about 6 hours ago
  • adapter_model.safetensors
    767 MB
    xet
    Trained Eye release product about 6 hours ago
  • chat_template.jinja
    9.99 kB
    Trained Eye release product about 6 hours ago
  • config.json
    5.66 kB
    Trained Eye release product about 6 hours ago
  • processor_config.json
    1.08 kB
    Trained Eye release product about 6 hours ago
  • release.json
    1.66 kB
    Trained Eye release product about 6 hours ago
  • tokenizer.json
    28.1 MB
    xet
    Trained Eye release product about 6 hours ago
  • tokenizer_config.json
    80 kB
    Trained Eye release product about 6 hours ago