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Duplicated from  google/timesfm-2.5-200m-transformers

echo3700
/
timesfm-2.5-200m-transformers

Time Series Forecasting
Transformers
Safetensors
TimesFM
timesfm2_5
Model card Files Files and versions
xet
Community

Instructions to use echo3700/timesfm-2.5-200m-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use echo3700/timesfm-2.5-200m-transformers with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, TimesFm2_5ModelForPrediction
    
    tokenizer = AutoTokenizer.from_pretrained("echo3700/timesfm-2.5-200m-transformers")
    model = TimesFm2_5ModelForPrediction.from_pretrained("echo3700/timesfm-2.5-200m-transformers")
  • TimesFM

    How to use echo3700/timesfm-2.5-200m-transformers with TimesFM:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
timesfm-2.5-200m-transformers
925 MB
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  • 2 contributors
History: 1 commit
echo3700's picture
echo3700
rajatsen91's picture
rajatsen91
Duplicate from google/timesfm-2.5-200m-transformers
8817fe7 about 2 months ago
  • .gitattributes
    1.52 kB
    Duplicate from google/timesfm-2.5-200m-transformers about 2 months ago
  • README.md
    2.4 kB
    Duplicate from google/timesfm-2.5-200m-transformers about 2 months ago
  • config.json
    914 Bytes
    Duplicate from google/timesfm-2.5-200m-transformers about 2 months ago
  • model.safetensors
    925 MB
    xet
    Duplicate from google/timesfm-2.5-200m-transformers about 2 months ago