Instructions to use keras/modern_bert_embed_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/modern_bert_embed_base with KerasHub:
import keras_hub # Load TextClassifier model text_classifier = keras_hub.models.TextClassifier.from_preset( "hf://keras/modern_bert_embed_base", num_classes=2, ) # Fine-tune text_classifier.fit(x=["Thilling adventure!", "Total snoozefest."], y=[1, 0]) # Classify text text_classifier.predict(["Not my cup of tea."])import keras_hub # Create a MaskedLM model task = keras_hub.models.MaskedLM.from_preset("hf://keras/modern_bert_embed_base")import keras_hub # Create a TextEmbedder model task = keras_hub.models.TextEmbedder.from_preset("hf://keras/modern_bert_embed_base")import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/modern_bert_embed_base") - Keras
How to use keras/modern_bert_embed_base 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://keras/modern_bert_embed_base") - Notebooks
- Google Colab
- Kaggle
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library_name: keras-hub
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This model is related to a `TextEmbedder` task.
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Model config:
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* **name:** modern_bert_backbone
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* **trainable:** True
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* **dtype:** {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}
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* **vocabulary_size:** 50368
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* **hidden_dim:** 768
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* **intermediate_dim:** 1152
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* **num_layers:** 22
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* **num_heads:** 12
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* **local_attention_window:** 128
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* **global_attn_every_n_layers:** 3
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* **rotary_max_wavelength:** 160000.0
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* **local_rotary_max_wavelength:** 10000.0
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* **layer_norm_epsilon:** 1e-05
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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library_name: keras-hub
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### Model Overview
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