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Duplicated from  LinWeizheDragon/PreFLMR_ViT-G

27M
/
PreFLMR_ViT-G

Feature Extraction
Transformers
Safetensors
English
flmr
retrieval
multi-modal
knowledge-based visual question answering
FLMR
PreFLMR
custom_code
Model card Files Files and versions
xet
Community

Instructions to use 27M/PreFLMR_ViT-G with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 27M/PreFLMR_ViT-G with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="27M/PreFLMR_ViT-G", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("27M/PreFLMR_ViT-G", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PreFLMR_ViT-G / context_tokenizer
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  • 2 contributors
History: 1 commit
27M's picture
27M
Duplicate from LinWeizheDragon/PreFLMR_ViT-G
2242717 about 2 months ago
  • special_tokens_map.json
    695 Bytes
    Duplicate from LinWeizheDragon/PreFLMR_ViT-G about 2 months ago
  • tokenization_flmr.py
    8.51 kB
    Duplicate from LinWeizheDragon/PreFLMR_ViT-G about 2 months ago
  • tokenizer_config.json
    1.42 kB
    Duplicate from LinWeizheDragon/PreFLMR_ViT-G about 2 months ago
  • vocab.txt
    232 kB
    Duplicate from LinWeizheDragon/PreFLMR_ViT-G about 2 months ago