Instructions to use zeromodels/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/table-transformer-detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/table-transformer-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 781fe0095ea132dbf51b0ed0c76160b63c50d40610709710d9248e16891a5e8b
- Size of remote file:
- 116 MB
- SHA256:
- 3c4e1090b653fe063b700927a0cb9500b35e89f040e35d1a7a7a5cc242d48a88
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