takala/financial_phrasebank
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How to use dfavenfre/model_use with Keras:
# 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")
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.