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Running
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A10G
Running
on
A10G
osanseviero
commited on
Commit
•
6d6196b
1
Parent(s):
83df74d
Update app.py
Browse files
app.py
CHANGED
@@ -3,6 +3,7 @@ import gradio as gr
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import torch
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import numpy as np
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from transformers import pipeline
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import torch
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print(f"Is CUDA available: {torch.cuda.is_available()}")
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@@ -30,6 +31,7 @@ Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of
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title = "Flan T5 and Vanilla T5"
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description = "This demo compares [T5-large](https://huggingface.co/t5-large) and [Flan-T5-XX-large](https://huggingface.co/google/flan-t5-xxl). Note that T5 expects a very specific format of the prompts, so the examples below are not necessarily the best prompts to compare."
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def inference(text):
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output_flan = pipe_flan(text, max_length=100)[0]["generated_text"]
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output_vanilla = pipe_vanilla(text, max_length=100)[0]["generated_text"]
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import torch
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import numpy as np
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from transformers import pipeline
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import spaces
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import torch
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print(f"Is CUDA available: {torch.cuda.is_available()}")
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title = "Flan T5 and Vanilla T5"
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description = "This demo compares [T5-large](https://huggingface.co/t5-large) and [Flan-T5-XX-large](https://huggingface.co/google/flan-t5-xxl). Note that T5 expects a very specific format of the prompts, so the examples below are not necessarily the best prompts to compare."
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@spaces.GPU
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def inference(text):
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output_flan = pipe_flan(text, max_length=100)[0]["generated_text"]
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output_vanilla = pipe_vanilla(text, max_length=100)[0]["generated_text"]
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