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

Thatphum
/
GOTOCR2-4bit-BNB

Feature Extraction
Transformers
Safetensors
fastvit_image_encoder
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Thatphum/GOTOCR2-4bit-BNB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thatphum/GOTOCR2-4bit-BNB with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Thatphum/GOTOCR2-4bit-BNB", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Thatphum/GOTOCR2-4bit-BNB", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GOTOCR2-4bit-BNB
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Thatphum's picture
Thatphum
Upload processor
02aa34d verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload FastViTImageEncoder 9 months ago
  • config.json
    412 Bytes
    Upload FastViTImageEncoder 9 months ago
  • image_encoder.py
    3.44 kB
    Upload FastViTImageEncoder 9 months ago
  • mci.py
    50 kB
    Upload FastViTImageEncoder 9 months ago
  • model.safetensors
    501 MB
    xet
    Upload FastViTImageEncoder 9 months ago
  • preprocessor_config.json
    448 Bytes
    Upload processor 9 months ago