Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
import transformers
|
2 |
import streamlit as st
|
3 |
-
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
4 |
import numpy as np
|
5 |
from PIL import Image
|
6 |
import torch
|
@@ -16,7 +16,7 @@ max_len = st.slider("Length", 40, 120, 2)
|
|
16 |
# tokenizer = GPT2Tokenizer.from_pretrained('sberbank-ai/rugpt3small_based_on_gpt2')
|
17 |
# #Задаем класс модели (уже в streamlit/tg_bot)
|
18 |
|
19 |
-
@st.
|
20 |
# def load_gpt():
|
21 |
# model_GPT = GPT2LMHeadModel.from_pretrained(
|
22 |
# 'sberbank-ai/rugpt3small_based_on_gpt2',
|
|
|
1 |
import transformers
|
2 |
import streamlit as st
|
3 |
+
from transformers import GPT2LMHeadModel, GPT2Tokenizer, GPT2TokenizerFast, GPT2Model
|
4 |
import numpy as np
|
5 |
from PIL import Image
|
6 |
import torch
|
|
|
16 |
# tokenizer = GPT2Tokenizer.from_pretrained('sberbank-ai/rugpt3small_based_on_gpt2')
|
17 |
# #Задаем класс модели (уже в streamlit/tg_bot)
|
18 |
|
19 |
+
@st.cache_data
|
20 |
# def load_gpt():
|
21 |
# model_GPT = GPT2LMHeadModel.from_pretrained(
|
22 |
# 'sberbank-ai/rugpt3small_based_on_gpt2',
|