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checkpoint_32.AutoModelForCausalLM.from_pretrained(...)latent_checkpoint.pt, which is the original Coconut checkpoint. That file preserves the wrapper state needed for exact latent decoding and checkpoint-faithful recovery.<|start-latent|> -> 151669<|end-latent|> -> 151670<|latent|> -> 151671embedding.weight1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("PATH_OR_HF_REPO")
4tokenizer = AutoTokenizer.from_pretrained("PATH_OR_HF_REPO")