DAMO-NLP-SG
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CLEX-Phi-2-32K

Text Generation

text-generation-inference

Inference Endpoints

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Guanzheng commited on Jan 24

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72abb1e

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1 Parent(s): 1342086

Update README.md

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@@ -40,7 +40,7 @@ import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/CLEX-Phi-2-2.7B-32K", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-Phi-2-2.7B-32K", 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-Phi-2-2.7B-32K", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-Phi-2-2.7B-32K", 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]))