Instructions to use necover/Bert_Based_type_classifier_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use necover/Bert_Based_type_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://necover/Bert_Based_type_classifier_V2") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
#1
by Wauplin HF Staff - opened
Model 'necover/Bert_Based_type_classifier_V2' seems to be compatible only with "Keras 2" and not "Keras 3". To distinguish them, models compatible with legacy Keras 2.x should be tagged as tf-keras while models compatible with Keras 3.x are tagged as keras.
This PR updates the model card to replace the explicit library_name: keras metadata which is now outdated by library_name: tf-keras. Updating this metadata will facilitate its discoverability and usage.
For more information about keras and tf-keras library names, check out this pull request: https://github.com/huggingface/huggingface.js/pull/774.