How to use ahotrod/albert_xxlargev1_squad2_512 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="ahotrod/albert_xxlargev1_squad2_512")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ahotrod/albert_xxlargev1_squad2_512") model = AutoModelForQuestionAnswering.from_pretrained("ahotrod/albert_xxlargev1_squad2_512", device_map="auto")
https://huggingface.co/ahotrod/albert_xxlargev1_squad2_512/resolve/main/lrate_tensorboard.png
hf download hf://ahotrod/albert_xxlargev1_squad2_512/lrate_tensorboard.png
curl -L -o lrate_tensorboard.png https://huggingface.co/ahotrod/albert_xxlargev1_squad2_512/resolve/main/lrate_tensorboard.png
