Instructions to use antonioFlavio/google-play-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use antonioFlavio/google-play-sentiment-analysis with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("antonioFlavio/google-play-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from antonioFlavio/google-play-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 678 kB
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https://huggingface.co/antonioFlavio/google-play-sentiment-analysis/resolve/main/tokenizer.json
- Command line
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hf download hf://antonioFlavio/google-play-sentiment-analysis/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/antonioFlavio/google-play-sentiment-analysis/resolve/main/tokenizer.json
678 kB
File too large to display, you can check the raw version instead.