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SakanaAI
/
TAID-VLM-2B

Visual Question Answering
Transformers
Safetensors
English
internvl_chat
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use SakanaAI/TAID-VLM-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SakanaAI/TAID-VLM-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="SakanaAI/TAID-VLM-2B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SakanaAI/TAID-VLM-2B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TAID-VLM-2B
4.41 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mkshing's picture
mkshing
Upload LICENSE
d52a4cf verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • LICENSE
    11.3 kB
    Upload LICENSE over 1 year ago
  • README.md
    2.37 kB
    initial commit over 1 year ago
  • added_tokens.json
    179 Bytes
    initial commit over 1 year ago
  • config.json
    5.6 kB
    initial commit over 1 year ago
  • generation_config.json
    69 Bytes
    initial commit over 1 year ago
  • model.safetensors
    4.41 GB
    xet
    initial commit over 1 year ago
  • special_tokens_map.json
    844 Bytes
    initial commit over 1 year ago
  • tokenization_internlm2.py
    8.79 kB
    initial commit over 1 year ago
  • tokenizer.model
    1.48 MB
    xet
    initial commit over 1 year ago
  • tokenizer_config.json
    4.01 kB
    initial commit over 1 year ago