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@@ -62,7 +62,7 @@ Typically, you can load the models using the Hugging Face `transformers` library
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # Example for one of the models (replace with the specific model name)
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- model_name = "ulab-ai/Time-R1-Theta1" # Or your specific Hugging Face model path
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
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  # Further usage instructions would go here or in the repository
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # Example for one of the models (replace with the specific model name)
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+ model_name = "ulab-ai/Time-R1-Theta1_prime" # Or your specific Hugging Face model path
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
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  # Further usage instructions would go here or in the repository