bert-base-german-cased-finetuned-squad

Para usar este modelo, puedes cargarlo usando la biblioteca Transformers de Hugging Face. Aquí tienes un ejemplo de uso en código Markdown:

from transformers import AutoModelForQuestionAnswering, AutoTokenizer
import torch

model_name = 'princetyagi/bert-base-german-cased-finetuned-squad'
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

question = "Tu pregunta aquí"
context = "El contexto de donde se extraerá la respuesta"

inputs = tokenizer.encode_plus(question, context, return_tensors='pt')
outputs = model(**inputs)

start_scores = outputs.start_logits
end_scores = outputs.end_logits

all_tokens = tokenizer.convert_ids_to_tokens(inputs['input_ids'].numpy().tolist()[0])
answer = ' '.join(all_tokens[torch.argmax(start_scores): torch.argmax(end_scores)+1])

print(f"Respuesta: {answer}")