Instructions to use jeanetrixsiee/javo_analisis_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use jeanetrixsiee/javo_analisis_sentiment with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("jeanetrixsiee/javo_analisis_sentiment") - Keras
How to use jeanetrixsiee/javo_analisis_sentiment with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://jeanetrixsiee/javo_analisis_sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d38437819935b1b35c7c5dd9a635fb967ff470970b6f27c99c8ff40140ff1837
- Size of remote file:
- 670 MB
- SHA256:
- fb0462b598283d77ba4956f90717544c01c7ca4961956f96b981ae33fd4f2c81
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