How to use zeromodels/oneformer_ade20k_swin_large 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/oneformer_ade20k_swin_large")
How to use zeromodels/oneformer_ade20k_swin_large 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://zeromodels/oneformer_ade20k_swin_large")
https://huggingface.co/zeromodels/oneformer_ade20k_swin_large/resolve/main/tokenizer.json
hf download hf://zeromodels/oneformer_ade20k_swin_large/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/zeromodels/oneformer_ade20k_swin_large/resolve/main/tokenizer.json
