How to use Nouran30/qa_model with Transformers:
# 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="Nouran30/qa_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nouran30/qa_model") model = AutoModelForSeq2SeqLM.from_pretrained("Nouran30/qa_model", device_map="auto")
https://huggingface.co/Nouran30/qa_model/resolve/main/README.md
hf download hf://Nouran30/qa_model/README.md
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Nouran30/qa_model/resolve/main/README.md
license: mit language: - ar base_model: - UBC-NLP/AraT5v2-base-1024 library_name: transformers tags: - transformers - arat5 - arabic - question-answering
