Instructions to use Aeidle/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aeidle/sentiment-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://Aeidle/sentiment-model") - Notebooks
- Google Colab
- Kaggle
Download sentiment_model.h5 from Aeidle/sentiment-model: direct link, hf CLI and curl.
- Browser
- Download file 570 MB
-
https://huggingface.co/Aeidle/sentiment-model/resolve/main/sentiment_model.h5
- Command line
-
hf download hf://Aeidle/sentiment-model/sentiment_model.h5
-
curl -L -o sentiment_model.h5 https://huggingface.co/Aeidle/sentiment-model/resolve/main/sentiment_model.h5
570 MB
- Xet hash:
- 73bfdc09f32c8b30898d281acd30eb3463529657ce6fb584b766f31a4200b972
- Size of remote file:
- 570 MB
- SHA256:
- 2e9fdb3f2198b356832f7d3bb004eec35e752000b193691e9a85a9df67770b02
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