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 label_encoder.pkl from suyagi/sains-data-model: direct link, hf CLI and curl.
- Browser
- Download file 518 Bytes
-
https://huggingface.co/suyagi/sains-data-model/resolve/main/label_encoder.pkl
- Command line
-
hf download hf://suyagi/sains-data-model/label_encoder.pkl
-
curl -L -o label_encoder.pkl https://huggingface.co/suyagi/sains-data-model/resolve/main/label_encoder.pkl
518 Bytes
- Xet hash:
- dc5dd756ce68bfd8f2fc3867babbab257e4877fe3525e6e2bc0133e3ecf30459
- Size of remote file:
- 518 Bytes
- SHA256:
- 40f4e059c717e30230dc44bd14493a1576163755a6a9c0fcfdbab9b4117ecbac
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