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Syigen
/
rgcm

Text Classification
PyTorch
Transformers
concept-memory-model
multi-task
Model card Files Files and versions
xet
Community

Instructions to use Syigen/rgcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Syigen/rgcm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Syigen/rgcm")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Syigen/rgcm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rgcm
442 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
dewmal's picture
dewmal
Upload Concept Memory base model
795a5e6 verified 24 days ago
  • concept_memory
    Upload Concept Memory base model 24 days ago
  • .gitattributes
    1.52 kB
    initial commit 24 days ago
  • README.md
    5.59 kB
    Upload Concept Memory base model 24 days ago
  • config.json
    343 Bytes
    Upload Concept Memory base model 24 days ago
  • example.py
    1.73 kB
    Upload Concept Memory base model 24 days ago
  • model.pt
    442 MB
    xet
    Upload Concept Memory base model 24 days ago