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

osazuwa
/
causalLLM-prince

Transformers
PyTorch
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use osazuwa/causalLLM-prince with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use osazuwa/causalLLM-prince with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("osazuwa/causalLLM-prince")
    model = AutoModelForSeq2SeqLM.from_pretrained("osazuwa/causalLLM-prince", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
causalLLM-prince
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
osazuwa's picture
osazuwa
Initial update
eb07cde almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    21 Bytes
    initial commit almost 3 years ago
  • config.json
    1.71 kB
    Initial update almost 3 years ago
  • generation_config.json
    292 Bytes
    Initial update almost 3 years ago
  • pytorch_model.bin
    1.63 GB
    xet
    Initial update almost 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Initial update almost 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    Initial update almost 3 years ago
  • trainer_state.json
    1.44 kB
    Initial update almost 3 years ago
  • training_args.bin
    4.16 kB
    xet
    Initial update almost 3 years ago