Instructions to use Umair2002/NewCodeLevelGemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Umair2002/NewCodeLevelGemma 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://Umair2002/NewCodeLevelGemma") - Notebooks
- Google Colab
- Kaggle
Download newCodeLevelGemma.keras from Umair2002/NewCodeLevelGemma: direct link, hf CLI and curl.
- Browser
- Download file 4.01 GB
-
https://huggingface.co/Umair2002/NewCodeLevelGemma/resolve/main/newCodeLevelGemma.keras
- Command line
-
hf download hf://Umair2002/NewCodeLevelGemma/newCodeLevelGemma.keras
-
curl -L -o newCodeLevelGemma.keras https://huggingface.co/Umair2002/NewCodeLevelGemma/resolve/main/newCodeLevelGemma.keras
4.01 GB
- Xet hash:
- 42af46130c4a0d55ae6b10fc891b25850cc93924fd5d60b5dd98b8c7ded86ade
- Size of remote file:
- 4.01 GB
- SHA256:
- 6f988246d2ffe72c9700960dabad45eadd7952ca67cadf4fd520b86e507260fb
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