Instructions to use iCareUW/distilbert-binary-polarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use iCareUW/distilbert-binary-polarity 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://iCareUW/distilbert-binary-polarity") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from iCareUW/distilbert-binary-polarity: direct link, hf CLI and curl.
- Browser
- Download file 3.16 MB
-
https://huggingface.co/iCareUW/distilbert-binary-polarity/resolve/main/saved_model.pb
- Command line
-
hf download hf://iCareUW/distilbert-binary-polarity/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/iCareUW/distilbert-binary-polarity/resolve/main/saved_model.pb
3.16 MB
- Xet hash:
- de6c56aa64b125e013bde101f6a76a21b88bda2a3837308cb19b1e0a1f0a6f7b
- Size of remote file:
- 3.16 MB
- SHA256:
- 0b67967a093879612fefe430ba715173d24647c79b55eb512b6ee726615d1e5b
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