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itsalissonsilva
/
modern-tcn-probabilistic

Feature Extraction
Transformers
Safetensors
PyTorch
Keras
modern_tcn_probabilistic
time-series
forecasting
probabilistic-forecasting
multivariate
custom-model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use itsalissonsilva/modern-tcn-probabilistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use itsalissonsilva/modern-tcn-probabilistic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="itsalissonsilva/modern-tcn-probabilistic", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("itsalissonsilva/modern-tcn-probabilistic", trust_remote_code=True, device_map="auto")
  • Keras

    How to use itsalissonsilva/modern-tcn-probabilistic with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://itsalissonsilva/modern-tcn-probabilistic")
    
  • Notebooks
  • Google Colab
  • Kaggle
modern-tcn-probabilistic
2.21 MB
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  • 1 contributor
History: 5 commits
itsalissonsilva's picture
itsalissonsilva
Update README.md
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • config.json
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  • configuration_modern_tcn.py
    2.04 kB
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  • data_config.json
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  • history.json
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  • model.safetensors
    2.18 MB
    xet
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  • modeling_modern_tcn.py
    12.9 kB
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  • run_config.json
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  • scaler.json
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  • summary.json
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