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

almanach
/
camembertv2-base-ckpts

Feature Extraction
Transformers
TensorBoard
French
deberta-v2
deberta-v3
debertav2
debertav3
camembert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use almanach/camembertv2-base-ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use almanach/camembertv2-base-ckpts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="almanach/camembertv2-base-ckpts")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("almanach/camembertv2-base-ckpts", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
camembertv2-base-ckpts
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14062 commits
wissamantoun's picture
wissamantoun
Create README.md
571e1ba verified over 1 year ago
  • checkpoints
    Upload checkpoints/iter_ckpt_rank_10/iter_ckpt_rank_10-271500.index with huggingface_hub over 1 year ago
  • post
    Upload post/ckpt-75000/tf/config.json with huggingface_hub over 1 year ago
  • .gitattributes
    41.5 kB
    Upload checkpoints/ckpt-224500.data-00000-of-00001 with huggingface_hub over 1 year ago
  • README.md
    2.51 kB
    Create README.md over 1 year ago