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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

LoupMr
/
finetune_wow_resulte

Transformers
xclip
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use LoupMr/finetune_wow_resulte with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("LoupMr/finetune_wow_resulte")
    model = AutoModel.from_pretrained("LoupMr/finetune_wow_resulte")
  • Notebooks
  • Google Colab
  • Kaggle
finetune_wow_resulte
782 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
LoupMr's picture
LoupMr
Delete pytorch_model.bin
3798f72 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    4.72 kB
    Upload config.json over 2 years ago
  • finetune_wow_result.pth

    Detected Pickle imports (3)

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

    What is a pickle import?

    780 MB
    xet
    Upload finetune_wow_result.pth over 2 years ago
  • preprocessor_config.json
    309 Bytes
    Upload preprocessor_config.json over 2 years ago
  • tokenizer.json
    2.22 MB
    Upload tokenizer.json over 2 years ago