Transformers How to use eslamxm/mt5-base-arabic with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline
pipe = pipeline("summarization", model="eslamxm/mt5-base-arabic") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("eslamxm/mt5-base-arabic")
model = AutoModelForSeq2SeqLM.from_pretrained("eslamxm/mt5-base-arabic") 
