# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("abdullah0kq/ARACD")
model = AutoModelForQuestionAnswering.from_pretrained("abdullah0kq/ARACD", device_map="auto")Quick Links
ARACD
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an Arabic-SQuAD-v2.0 dataset. It achieves the following results on the evaluation set:
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Model tree for abdullah0kq/ARACD
Base model
aubmindlab/bert-base-arabertv2
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="abdullah0kq/ARACD")