Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

baskra
/
tiny-random-Blip2Model-opt

Feature Extraction
Transformers
PyTorch
blip-2
Model card Files Files and versions
xet
Community
1

Instructions to use baskra/tiny-random-Blip2Model-opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baskra/tiny-random-Blip2Model-opt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="baskra/tiny-random-Blip2Model-opt")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("baskra/tiny-random-Blip2Model-opt")
    model = AutoModel.from_pretrained("baskra/tiny-random-Blip2Model-opt")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-Blip2Model-opt
799 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
baskra's picture
baskra
Upload model
13c4437 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    7.08 kB
    Upload model over 2 years ago
  • preprocessor_config.json
    410 Bytes
    Create preprocessor_config.json over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    757 kB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    547 Bytes
    Create special_tokens_map.json over 2 years ago
  • tokenizer.json
    31.8 kB
    Create tokenizer.json over 2 years ago
  • tokenizer_config.json
    903 Bytes
    Create tokenizer_config.json over 2 years ago