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SnowFlash383935
/
DigitalEduTransformers

Tabular Classification
Transformers
Safetensors
transformer
feature-extraction
finance
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use SnowFlash383935/DigitalEduTransformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SnowFlash383935/DigitalEduTransformers with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SnowFlash383935/DigitalEduTransformers", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DigitalEduTransformers
807 MB
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  • 2 contributors
History: 24 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
cebdee7 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    502 Bytes
    Update README.md about 1 year ago
  • model.safetensors
    404 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pipeline.py
    4.25 kB
    Upload pipeline.py with huggingface_hub about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    404 MB
    xet
    Upload pytorch_model.bin with huggingface_hub about 1 year ago
  • requirements.txt
    25 Bytes
    Update requirements.txt about 1 year ago
  • train_mean.npy
    156 Bytes
    xet
    Upload 2 files about 1 year ago
  • train_std.npy
    156 Bytes
    xet
    Upload 2 files about 1 year ago