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YashGb
/
radiologist_vision_llama_finetuned

Feature Extraction
Transformers
English
qwen2_vl
text-generation-inference
unsloth
Model card Files Files and versions
xet
Community

Instructions to use YashGb/radiologist_vision_llama_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YashGb/radiologist_vision_llama_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="YashGb/radiologist_vision_llama_finetuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("YashGb/radiologist_vision_llama_finetuned")
    model = AutoModel.from_pretrained("YashGb/radiologist_vision_llama_finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
radiologist_vision_llama_finetuned
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  • 1 contributor
History: 3 commits
YashGb's picture
YashGb
(Trained with Unsloth)
8118e20 verified over 1 year ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) over 1 year ago
  • README.md
    603 Bytes
    Unsloth Model Card over 1 year ago
  • added_tokens.json
    392 Bytes
    (Trained with Unsloth) over 1 year ago
  • chat_template.json
    1.05 kB
    (Trained with Unsloth) over 1 year ago
  • config.json
    1.54 kB
    (Trained with Unsloth) over 1 year ago
  • merges.txt
    1.67 MB
    (Trained with Unsloth) over 1 year ago
  • preprocessor_config.json
    572 Bytes
    (Trained with Unsloth) over 1 year ago
  • special_tokens_map.json
    614 Bytes
    (Trained with Unsloth) over 1 year ago
  • tokenizer.json
    11.4 MB
    xet
    (Trained with Unsloth) over 1 year ago
  • tokenizer_config.json
    4.33 kB
    (Trained with Unsloth) over 1 year ago
  • vocab.json
    2.78 MB
    (Trained with Unsloth) over 1 year ago