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