Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

fabikru
/
molencoder-D3R-simple

Text Classification
Transformers
Safetensors
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use fabikru/molencoder-D3R-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fabikru/molencoder-D3R-simple with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="fabikru/molencoder-D3R-simple")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fabikru/molencoder-D3R-simple")
    model = AutoModelForSequenceClassification.from_pretrained("fabikru/molencoder-D3R-simple")
  • Notebooks
  • Google Colab
  • Kaggle
molencoder-D3R-simple
61 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
fabikru's picture
fabikru
Upload tokenizer
7bcfe99 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload ModernBertForSequenceClassification 6 months ago
  • config.json
    1.29 kB
    Upload ModernBertForSequenceClassification 6 months ago
  • model.safetensors
    60.9 MB
    xet
    Upload ModernBertForSequenceClassification 6 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 6 months ago
  • tokenizer.json
    16.1 kB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    13.6 kB
    Upload tokenizer 6 months ago