Instructions to use suyagi/sains-data-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use suyagi/sains-data-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://suyagi/sains-data-model") - Notebooks
- Google Colab
- Kaggle
Download class_indices.json from suyagi/sains-data-model: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/suyagi/sains-data-model/resolve/main/class_indices.json
- Command line
-
hf download hf://suyagi/sains-data-model/class_indices.json
-
curl -L -o class_indices.json https://huggingface.co/suyagi/sains-data-model/resolve/main/class_indices.json
121 Bytes
| { | |
| "AK": 0, | |
| "BCC": 1, | |
| "BKL": 2, | |
| "DF": 3, | |
| "MEL": 4, | |
| "NV": 5, | |
| "SCC": 6, | |
| "VASC": 7 | |
| } |