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Maincode
/
matilda-jev-v1

Feature Extraction
Transformers
Safetensors
English
matilda_jev
decision-model
typed-decisions
jev
maincode
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use Maincode/matilda-jev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Maincode/matilda-jev-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Maincode/matilda-jev-v1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Maincode/matilda-jev-v1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
matilda-jev-v1 / runtime /maincode_jev_serve
63.9 kB
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  • 2 contributors
History: 3 commits
arsh-maincode's picture
arsh-maincode
Update runtime/maincode_jev_serve/engine.py
d664391 verified about 5 hours ago
  • __init__.py
    0 Bytes
    MATILDA-jev v1 β€” current release about 14 hours ago
  • ask.py
    4.82 kB
    MATILDA-jev v1 β€” current release about 14 hours ago
  • config.py
    2.15 kB
    MATILDA-jev v1 β€” current release about 14 hours ago
  • decide.py
    3.71 kB
    MATILDA-jev v1 β€” current release about 14 hours ago
  • engine.py
    3.31 kB
    Update runtime/maincode_jev_serve/engine.py about 5 hours ago
  • model.py
    14.4 kB
    Update runtime/maincode_jev_serve/model.py about 5 hours ago
  • playground.html
    21.5 kB
    MATILDA-jev v1 β€” current release about 14 hours ago
  • server.py
    12.2 kB
    MATILDA-jev v1 β€” current release about 14 hours ago
  • types.py
    1.85 kB
    MATILDA-jev v1 β€” current release about 14 hours ago