Instructions to use patrickbdevaney/sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use patrickbdevaney/sentiment_analysis 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://patrickbdevaney/sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.pickle from patrickbdevaney/sentiment_analysis: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/patrickbdevaney/sentiment_analysis/resolve/main/tokenizer.pickle
- Command line
-
hf download hf://patrickbdevaney/sentiment_analysis/tokenizer.pickle
-
curl -L -o tokenizer.pickle https://huggingface.co/patrickbdevaney/sentiment_analysis/resolve/main/tokenizer.pickle
2.11 MB
- Xet hash:
- 6ab205553ed776a22876113f424b786275ecaf4f3112ad8b1626570fe7d5fee0
- Size of remote file:
- 2.11 MB
- SHA256:
- 94f921d7e3a76e7bcbb77d22041aff10b7e54d3754f2b29c414615530b3de676
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