Instructions to use Jabka/Neue_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jabka/Neue_Model 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://Jabka/Neue_Model") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
cac32b0 -
Upload raZ.jpg
c61606b -
Update README.md
bcbe450 -
Upload 5 files
353308d -
Delete my_model/variables/variables.data-00000-of-00001
377dae3 -
Delete my_model/variables/variables.index
8aa5edb -
Delete my_model/keras_metadata.pb
4ab0bce -
Delete my_model/saved_model.pb
5b1ada2 -
Delete my_model/fingerprint.pb
f1f7a6e -
Upload Itog.jpg
aafe6d5 -
Upload model.png
96281f5 -
Delete model.png
c388bdf -
Update README.md
6afbd3c -
Update README.md
7412a46 -
Update README.md
334563c -
Upload Param.jpg
5bdadab -
Upload Зачётное_задание.ipynb
de404aa -
Upload 5 files
dc321b3 -
Update README.md
a60f550 -
Update README.md
21ae8b8 -
Create README.md
986307b -
Upload model.png
c05ea19 -
initial commit
6d335dc