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

xablex
/
prosody_models

Text Classification
Transformers
Safetensors
English
multimodal
image-classification
distilbert
vit
gated-fusion
digital-humanities
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use xablex/prosody_models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xablex/prosody_models")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xablex/prosody_models", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
prosody_models / vit-image
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
xablex's picture
xablex
Upload folder using huggingface_hub
c81f977 verified 18 days ago
  • README.md
    798 Bytes
    Upload folder using huggingface_hub 18 days ago
  • config.json
    661 Bytes
    Upload folder using huggingface_hub 18 days ago
  • model.safetensors
    343 MB
    xet
    Upload folder using huggingface_hub 18 days ago
  • preprocessor_config.json
    325 Bytes
    Upload folder using huggingface_hub 18 days ago