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MannasAI
/
MANAS-2

Feature Extraction
Transformers
Safetensors
PyTorch
English
manas2
eeg
neuroscience
foundation-model
masked-autoencoder
representation-learning
custom_code
Model card Files Files and versions
xet
Community

Instructions to use MannasAI/MANAS-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MannasAI/MANAS-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MannasAI/MANAS-2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MannasAI/MANAS-2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MANAS-2
371 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mannasAI-labs's picture
mannasAI-labs
Release MANAS-2 encoder
c61906f verified about 3 hours ago
  • .gitattributes
    50 Bytes
    Release MANAS-2 encoder about 3 hours ago
  • LICENSE
    11.4 kB
    Release MANAS-2 encoder about 3 hours ago
  • README.md
    2.85 kB
    Release MANAS-2 encoder about 3 hours ago
  • config.json
    57.1 kB
    Release MANAS-2 encoder about 3 hours ago
  • model.py
    9.72 kB
    Release MANAS-2 encoder about 3 hours ago
  • model.safetensors
    371 MB
    xet
    Release MANAS-2 encoder about 3 hours ago
  • positions.json
    59.9 kB
    Release MANAS-2 encoder about 3 hours ago
  • requirements.txt
    50 Bytes
    Release MANAS-2 encoder about 3 hours ago