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

le-woudar
/
m2m100_1.2B-ct2

Transformers
PyTorch
m2m100
101 languages
text2text generation
Model card Files Files and versions
xet
Community

Instructions to use le-woudar/m2m100_1.2B-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use le-woudar/m2m100_1.2B-ct2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("le-woudar/m2m100_1.2B-ct2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
m2m100_1.2B-ct2
4.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
le-woudar's picture
le-woudar
remove tag "Inference Endpoint" added automatically by Huggingface
bb3ff04 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    393 Bytes
    remove tag "Inference Endpoint" added automatically by Huggingface about 2 years ago
  • config.json
    233 Bytes
    Upload 3 files about 2 years ago
  • model.bin
    4.96 GB
    xet
    Upload 3 files about 2 years ago
  • shared_vocabulary.json
    2.92 MB
    Upload 3 files about 2 years ago