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MobileLLM-600M

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zechunliu commited on about 21 hours ago

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@@ -41,7 +41,7 @@ We are providing 2 ways to run the model:
 To load the pretrained model for further finetuning or evaluation:
 ```bash
 from transformers import AutoModelForCausalLM, AutoTokenizer
-tokenizer = AutoTokenizer.from_pretrained("facebook/MobileLLM-600M", use_fast_tokenizer=False)
 model = AutoModelForCausalLM.from_pretrained("facebook/MobileLLM-600M", trust_remote_code=True)
 ```
 Note that the default tokenizer does not contain special tokens. For example you can use:

 To load the pretrained model for further finetuning or evaluation:
 ```bash
 from transformers import AutoModelForCausalLM, AutoTokenizer
+tokenizer = AutoTokenizer.from_pretrained("facebook/MobileLLM-125M", use_fast=False)
 model = AutoModelForCausalLM.from_pretrained("facebook/MobileLLM-600M", trust_remote_code=True)
 ```
 Note that the default tokenizer does not contain special tokens. For example you can use: