Instructions to use samanehs/bert_tiny_en_uncased_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use samanehs/bert_tiny_en_uncased_classifier with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://samanehs/bert_tiny_en_uncased_classifier") - Keras
How to use samanehs/bert_tiny_en_uncased_classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://samanehs/bert_tiny_en_uncased_classifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "keras_version": "3.3.2", | |
| "keras_nlp_version": "0.10.0.dev0", | |
| "parameter_count": 4385920, | |
| "date_saved": "2024-04-25@16:33:11" | |
| } |