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go76dof
/
firstTestModel

Text Classification
Transformers
Safetensors
simple_mlp
custom_code
Model card Files Files and versions
xet
Community

Instructions to use go76dof/firstTestModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use go76dof/firstTestModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="go76dof/firstTestModel", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("go76dof/firstTestModel", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
firstTestModel
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  • 1 contributor
History: 5 commits
go76dof's picture
go76dof
feat: upload custom trained BPE tokenizer from scratch
dc39318 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    5.17 kB
    Upload SimpleMLPForClassification 7 days ago
  • config.json
    406 Bytes
    Upload SimpleMLPForClassification 7 days ago
  • model.safetensors
    34.1 kB
    xet
    Upload SimpleMLPForClassification 7 days ago
  • modeling_simple_mlp.py
    1.39 kB
    Upload SimpleMLPForClassification 7 days ago
  • simple_mlp_configuration.py
    477 Bytes
    Upload SimpleMLPForClassification 7 days ago
  • tokenizer.json
    6.4 kB
    feat: upload custom trained BPE tokenizer from scratch 7 days ago
  • tokenizer_config.json
    249 Bytes
    feat: upload custom trained BPE tokenizer from scratch 7 days ago