Instructions to use DeepNeural/deepneural_sentiment_classifier_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DeepNeural/deepneural_sentiment_classifier_v2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DeepNeural/deepneural_sentiment_classifier_v2") - Notebooks
- Google Colab
- Kaggle
Upload sentiment_tokenizer.pkl
Browse files- sentiment_tokenizer.pkl +3 -0
sentiment_tokenizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:407425b4cedefee4fd30eb0ed75fccbd6a2d9f0d3a3803133cad46a272af5945
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size 2157003
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