Instructions to use BilalHasan/Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BilalHasan/Sentiment-Analysis with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BilalHasan/Sentiment-Analysis") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
a6a3606 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a623f5aa5220d1e02965ad51bcb74ece40dbe39d2a268e6ff113af572b2f9ad7
size 28676516
|