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

OpenGVLab
/
InternVL-Chat-ViT-6B-Vicuna-7B

Visual Question Answering
Transformers
PyTorch
TensorBoard
llava
text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCausalLM
    
    processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B")
    model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
InternVL-Chat-ViT-6B-Vicuna-7B
25.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 25 commits
czczup's picture
czczup
Update README.md
5a62ede verified almost 2 years ago
  • runs
    Upload folder using huggingface_hub over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.46 kB
    Update README.md almost 2 years ago
  • config.json
    1.04 kB
    Update config.json about 2 years ago
  • generation_config.json
    162 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • mm_projector.bin
    59.8 MB
    xet
    Upload mm_projector.bin over 2 years ago
  • pytorch_model-00001-of-00003.bin
    9.98 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model-00002-of-00003.bin
    9.97 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model-00003-of-00003.bin
    5.4 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model.bin.index.json
    93.8 kB
    Upload folder using huggingface_hub over 2 years ago
  • special_tokens_map.json
    438 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer_config.json
    749 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • trainer_state.json
    630 kB
    Upload folder using huggingface_hub over 2 years ago