Instructions to use necover/Bert_Based_effectiveness_classifier_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use necover/Bert_Based_effectiveness_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://necover/Bert_Based_effectiveness_classifier_V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b0db504d1c18078ef6b5eecde422a3e5efe61f1ce89353ed6298dc32456d11
- Size of remote file:
- 6.58 MB
- SHA256:
- a05a159813bfab2c93e3f7e999fa18c2d0cd59db114b67fb88f80e54a6ab48b0
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