Instructions to use DigitalGurl/Gitty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DigitalGurl/Gitty with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DigitalGurl/Gitty") - Notebooks
- Google Colab
- Kaggle
| license: bigscience-openrail-m | |
| datasets: | |
| - BAAI/Infinity-Instruct | |
| language: | |
| - av | |
| metrics: | |
| - character | |
| library_name: keras | |
| pipeline_tag: audio-to-audio | |