DAMO-NLP-SG
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CLEX-LLaMA-2-7B-64K

Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

Guanzheng commited on Jan 24

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97c8cec

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1 Parent(s): fe79b60

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@@ -39,7 +39,7 @@ import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/CLEX-LLaMA-2-7B-64K", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-LLaMA-2-7B-64K", torch_dtype=torch.bfloat16)
 inputs = tokenizer("What is CLEX?", return_tensors="pt")
 sample = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(sample[0]))

 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/CLEX-LLaMA-2-7B-64K", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-LLaMA-2-7B-64K", torch_dtype=torch.bfloat16, trust_remote_code=True)
 inputs = tokenizer("What is CLEX?", return_tensors="pt")
 sample = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(sample[0]))