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

weikaih
/
molmo2-codec-pruning16-step1000

Transformers
video-language-model
video-codec
molmo2
token-pruning
Model card Files Files and versions
xet
Community

Instructions to use weikaih/molmo2-codec-pruning16-step1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use weikaih/molmo2-codec-pruning16-step1000 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("weikaih/molmo2-codec-pruning16-step1000", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
molmo2-codec-pruning16-step1000 / config
41.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
weikaih's picture
weikaih
Add config/stage2_step1000.yaml
75e968e verified about 2 months ago
  • gamma_v6_rgbhex_k4.json
    312 Bytes
    Add config/gamma_v6_rgbhex_k4.json about 2 months ago
  • native_p_tokenization.json
    356 Bytes
    Add config/native_p_tokenization.json about 2 months ago
  • stage2_step1000.yaml
    41.1 kB
    Add config/stage2_step1000.yaml about 2 months ago