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:
# !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://DeepNeural/deepneural_sentiment_classifier_v2") - Notebooks
- Google Colab
- Kaggle
Download sentiment_tokenizer.pkl from DeepNeural/deepneural_sentiment_classifier_v2: direct link, hf CLI and curl.
- Browser
- Download file 2.16 MB
-
https://huggingface.co/DeepNeural/deepneural_sentiment_classifier_v2/resolve/main/sentiment_tokenizer.pkl
- Command line
-
hf download hf://DeepNeural/deepneural_sentiment_classifier_v2/sentiment_tokenizer.pkl
-
curl -L -o sentiment_tokenizer.pkl https://huggingface.co/DeepNeural/deepneural_sentiment_classifier_v2/resolve/main/sentiment_tokenizer.pkl
2.16 MB
- Xet hash:
- d4ddf37c94e4a0cdf37097e392f74a59c0c1c79dc0080af46493e3fda7d4fde1
- Size of remote file:
- 2.16 MB
- SHA256:
- 407425b4cedefee4fd30eb0ed75fccbd6a2d9f0d3a3803133cad46a272af5945
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