Instructions to use yangwenli661/PMD-model-artifacts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yangwenli661/PMD-model-artifacts 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://yangwenli661/PMD-model-artifacts") - Notebooks
- Google Colab
- Kaggle
Download label_mapping.json from yangwenli661/PMD-model-artifacts: direct link, hf CLI and curl.
- Browser
- Download file 68 Bytes
-
https://huggingface.co/yangwenli661/PMD-model-artifacts/resolve/main/label_mapping.json
- Command line
-
hf download hf://yangwenli661/PMD-model-artifacts/label_mapping.json
-
curl -L -o label_mapping.json https://huggingface.co/yangwenli661/PMD-model-artifacts/resolve/main/label_mapping.json
68 Bytes
| { | |
| "0": "Reliable", | |
| "1": "Misinformation", | |
| "2": "Misleading" | |
| } | |