Instructions to use tejagowda/NextTokenPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tejagowda/NextTokenPrediction 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://tejagowda/NextTokenPrediction") - Notebooks
- Google Colab
- Kaggle
Download final_model.keras from tejagowda/NextTokenPrediction: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/tejagowda/NextTokenPrediction/resolve/main/final_model.keras
- Command line
-
hf download hf://tejagowda/NextTokenPrediction/final_model.keras
-
curl -L -o final_model.keras https://huggingface.co/tejagowda/NextTokenPrediction/resolve/main/final_model.keras
16.4 MB
- Xet hash:
- 61c33fa1dd737d75e0dc994b0d5bc6f224de30afc3c40849b6c7b07139338bb8
- Size of remote file:
- 16.4 MB
- SHA256:
- acbc254b1e242d441710aeee8780eaef8f5ca356cd654bca3573286e3ee358a2
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