Model_USE is a pre-trained NLP model to analyze the sentiment of financial or economic commentary, tweet, or news. It is built upon Universal Sentence Encoder (USE) and fine-tuned for financial sentiment classification purposes. Financial Phrasebank's 'agreeall' dataset was used for fine-tuning.
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# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dfavenfre/model_use")