Instructions to use MasterShomya/Tweets_Sentiment_Analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MasterShomya/Tweets_Sentiment_Analyzer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MasterShomya/Tweets_Sentiment_Analyzer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db69c841ffc7227f3103d5a421b14958955a40e3d5519ca9ce9e7ce925aa73f3
- Size of remote file:
- 19.9 MB
- SHA256:
- b03a89ea027e329f6ab0517f6db456ec6c65143dc2a7c0acd9f828db070d4965
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