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 sombertb_model/tokenizer.json from yangwenli661/PMD-model-artifacts: direct link, hf CLI and curl.
- Browser
- Download file 1.68 MB
-
https://huggingface.co/yangwenli661/PMD-model-artifacts/resolve/main/sombertb_model/tokenizer.json
- Command line
-
hf download hf://yangwenli661/PMD-model-artifacts/sombertb_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/yangwenli661/PMD-model-artifacts/resolve/main/sombertb_model/tokenizer.json
1.68 MB
File too large to display, you can check the raw version instead.