Chirayu
/

subject-generator-t5-base

Text2Text Generation

Inference Endpoints

text-generation-inference

Model card Files Files and versions Community

Chirayu commited on Jul 12, 2022

Commit

a84f4bf

•

1 Parent(s): 86731e8

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -10,7 +10,7 @@ import torch
 model = AutoModelForSeq2SeqLM.from_pretrained("Chirayu/subject-generator-t5-base")
 tokenizer = AutoTokenizer.from_pretrained("Chirayu/subject-generator-t5-base")
-device = torch.device("cuda" if torch.cuda.is_available() else "CPU")
 model = model.to(device)
 def get_subject(content, num_beams=5,max_length=512, repetition_penalty=2.5, length_penalty=1, early_stopping=True,top_p=.95, top_k=50, num_return_sequences=3):

 model = AutoModelForSeq2SeqLM.from_pretrained("Chirayu/subject-generator-t5-base")
 tokenizer = AutoTokenizer.from_pretrained("Chirayu/subject-generator-t5-base")
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
 def get_subject(content, num_beams=5,max_length=512, repetition_penalty=2.5, length_penalty=1, early_stopping=True,top_p=.95, top_k=50, num_return_sequences=3):