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

pingzhili
/
chemberta-mlp2x-contrastive

Transformers
PyTorch
Safetensors
roberta
Model card Files Files and versions
xet
Community

Instructions to use pingzhili/chemberta-mlp2x-contrastive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pingzhili/chemberta-mlp2x-contrastive with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, RobertaForReactionEmbedding
    
    tokenizer = AutoTokenizer.from_pretrained("pingzhili/chemberta-mlp2x-contrastive")
    model = RobertaForReactionEmbedding.from_pretrained("pingzhili/chemberta-mlp2x-contrastive", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chemberta-mlp2x-contrastive
677 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Kyriection's picture
Kyriection
update
039cd2c over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    736 Bytes
    update over 2 years ago
  • merges.txt
    4.06 kB
    update over 2 years ago
  • model.safetensors
    339 MB
    xet
    update over 2 years ago
  • pytorch_model.bin
    339 MB
    xet
    update over 2 years ago
  • special_tokens_map.json
    957 Bytes
    update over 2 years ago
  • tokenizer.json
    27.6 kB
    update over 2 years ago
  • tokenizer_config.json
    1.27 kB
    update over 2 years ago
  • vocab.json
    9.3 kB
    update over 2 years ago