Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -4,10 +4,13 @@ import graphviz
|
|
| 4 |
from PIL import Image
|
| 5 |
import sentencepiece
|
| 6 |
|
|
|
|
|
|
|
| 7 |
model_name = "csebuetnlp/mT5_multilingual_XLSum"
|
| 8 |
-
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 9 |
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
|
| 10 |
|
|
|
|
| 11 |
question_generator = pipeline("text2text-generation", model="valhalla/t5-small-e2e-qg")
|
| 12 |
|
| 13 |
def summarize_text(text, src_lang):
|
|
|
|
| 4 |
from PIL import Image
|
| 5 |
import sentencepiece
|
| 6 |
|
| 7 |
+
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
| 8 |
+
|
| 9 |
model_name = "csebuetnlp/mT5_multilingual_XLSum"
|
| 10 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False) # المحول البطيء
|
| 11 |
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
|
| 12 |
|
| 13 |
+
|
| 14 |
question_generator = pipeline("text2text-generation", model="valhalla/t5-small-e2e-qg")
|
| 15 |
|
| 16 |
def summarize_text(text, src_lang):
|