polieste
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fastAbs_large

text2text-generation

text-generation-inference

Inference Endpoints

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polieste commited on Jan 10, 2024

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a0b942b

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1 Parent(s): 42d595a

Update README.md

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@@ -28,7 +28,7 @@ encoding = tokenizer(text, return_tensors="pt")
 input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
 outputs = model.generate(
     input_ids=input_ids, attention_mask=attention_masks,
-    max_length=128,
     early_stopping=True
 )
 for output in outputs:

 input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
 outputs = model.generate(
     input_ids=input_ids, attention_mask=attention_masks,
+    max_length=512,
     early_stopping=True
 )
 for output in outputs: