How to use zeromodels/bart_large_xsum with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/bart_large_xsum")
How to use zeromodels/bart_large_xsum with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/bart_large_xsum")
https://huggingface.co/zeromodels/bart_large_xsum/resolve/main/tokenizer.json
hf download hf://zeromodels/bart_large_xsum/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/zeromodels/bart_large_xsum/resolve/main/tokenizer.json
