import transformers
from transformers import AutoConfig, AutoModelForCausalLM



model_id = "meta-models/Muse-Glimmer-30B"
cfg = AutoConfig.from_pretrained(model_id, trust_remote_code=True)



print("transformers:", transformers.__version__)
print("config:", type(cfg).__name__)
print("model_type:", cfg.model_type)
print("architectures:", cfg.architectures)
print("AutoModelForCausalLM supports config:",
    type(cfg) in AutoModelForCausalLM._model_mapping)



image_text = getattr(transformers, "AutoModelForImageTextToText", None)
if image_text is not None:
    print("AutoModelForImageTextToText supports config:",
        type(cfg) in image_text._model_mapping)