sedrickkeh commited on
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Update README.md

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@@ -64,7 +64,7 @@ Then you can load the model using HF's Auto classes as follows:
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  from open_lm.hf import *
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("TRI-ML/DCLM-1B-IT")
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- model = AutoModelForCausalLM.from_pretrained("TRI-ML/DCLM-1B")
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  inputs = tokenizer(["Machine learning is"], return_tensors="pt")
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  gen_kwargs = {"max_new_tokens": 50, "top_p": 0.8, "temperature": 0.8, "do_sample": True, "repetition_penalty": 1.1}
 
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  from open_lm.hf import *
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("TRI-ML/DCLM-1B-IT")
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+ model = AutoModelForCausalLM.from_pretrained("TRI-ML/DCLM-1B-IT")
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  inputs = tokenizer(["Machine learning is"], return_tensors="pt")
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  gen_kwargs = {"max_new_tokens": 50, "top_p": 0.8, "temperature": 0.8, "do_sample": True, "repetition_penalty": 1.1}