KerasHub How to use keras/mxbai_embed_large_v1_en with KerasHub:
import keras_hub
# Load TextClassifier model
text_classifier = keras_hub.models.TextClassifier.from_preset(
"hf://keras/mxbai_embed_large_v1_en",
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/mxbai_embed_large_v1_en")
import keras_hub
# Create a TextEmbedder model
task = keras_hub.models.TextEmbedder.from_preset("hf://keras/mxbai_embed_large_v1_en")
import keras_hub
# Create a Backbone model unspecialized for any task
backbone = keras_hub.models.Backbone.from_preset("hf://keras/mxbai_embed_large_v1_en")
