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
File size: 822 Bytes
f696145 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"module": "keras_hub.src.models.modern_bert.modern_bert_backbone",
"class_name": "ModernBertBackbone",
"config": {
"name": "modern_bert_backbone",
"trainable": true,
"dtype": {
"module": "keras",
"class_name": "DTypePolicy",
"config": {
"name": "float32"
},
"registered_name": null
},
"vocabulary_size": 50368,
"hidden_dim": 768,
"intermediate_dim": 1152,
"num_layers": 22,
"num_heads": 12,
"local_attention_window": 128,
"global_attn_every_n_layers": 3,
"rotary_max_wavelength": 160000.0,
"local_rotary_max_wavelength": 10000.0,
"layer_norm_epsilon": 1e-05
},
"registered_name": "keras_hub>ModernBertBackbone"
} |