ulab-ai
/

Time-R1-S1P1

Text Generation

temporal-reasoning

reinforcement-learning

large-language-models

text-generation-inference

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m-serious commited on Jun 2

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d261c4a

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1 Parent(s): 0b78442

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@@ -64,7 +64,7 @@ Typically, you can load the models using the Hugging Face `transformers` library
 from transformers import AutoModelForCausalLM, AutoTokenizer
 # Example for one of the models (replace with the specific model name)
-model_name = "ulab-ai/Time-R1-Theta1" # Or your specific Hugging Face model path
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)

 from transformers import AutoModelForCausalLM, AutoTokenizer
 # Example for one of the models (replace with the specific model name)
+model_name = "ulab-ai/Time-R1-S1P1" # Or your specific Hugging Face model path
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)