facebook
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galactica-30b

Text Generation

text-generation-inference

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Update README.md

#3

by joaogante HF staff - opened Nov 17, 2022

base: refs/heads/main

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from: refs/pr/3

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@@ -94,7 +94,7 @@ print(tokenizer.decode(outputs[0]))
 from transformers import AutoTokenizer, OPTForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-30b")
-OPTForCausalLM.from_pretrained("facebook/galactica-30b", device_map="auto")
 input_text = "The Transformer architecture [START_REF]"
 input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")

 from transformers import AutoTokenizer, OPTForCausalLM
 tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-30b")
+model = OPTForCausalLM.from_pretrained("facebook/galactica-30b", device_map="auto")
 input_text = "The Transformer architecture [START_REF]"
 input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")