Instructions to use silvermete0r/Gemma2_2B_QazPerry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use silvermete0r/Gemma2_2B_QazPerry 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://silvermete0r/Gemma2_2B_QazPerry") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from silvermete0r/Gemma2_2B_QazPerry: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/silvermete0r/Gemma2_2B_QazPerry/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://silvermete0r/Gemma2_2B_QazPerry/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/silvermete0r/Gemma2_2B_QazPerry/resolve/main/preprocessor_config.json
111 Bytes
| { | |
| "truncate_text_length": 3000, | |
| "keep_columns": ["instruction", "text"], | |
| "remove_special_chars": false | |
| } | |