Instructions to use manar21/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use manar21/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://manar21/model") - Notebooks
- Google Colab
- Kaggle
Download data (2).yaml from manar21/model: direct link, hf CLI and curl.
- Browser
- Download file 275 Bytes
-
https://huggingface.co/manar21/model/resolve/main/data%20(2).yaml
- Command line
-
hf download 'hf://manar21/model/data (2).yaml'
-
curl -L -o 'data (2).yaml' 'https://huggingface.co/manar21/model/resolve/main/data%20(2).yaml'
275 Bytes
| names: | |
| - '0' | |
| - '1' | |
| - '2' | |
| - '3' | |
| - '4' | |
| - '5' | |
| nc: 6 | |
| roboflow: | |
| license: CC BY 4.0 | |
| project: alahram | |
| url: https://universe.roboflow.com/manar-abdelrahman/alahram/dataset/2 | |
| version: 2 | |
| workspace: manar-abdelrahman | |
| test: ../test/images | |
| train: train/images | |
| val: valid/images | |