DAMO-NLP-SG
/

CLEX-7B-16K

Text Generation

Inference Endpoints

text-generation-inference

Model card Files Files and versions Community

Guanzheng commited on Jan 24

Commit

0a9e1f8

•

1 Parent(s): c74d400

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -32,7 +32,7 @@ import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/CLEX-7B-16K", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-7B-16K", 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-7B-16K", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/CLEX-7B-16K", 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]))