please provide a example for load model use
#21
by
kaiwangfrancais
- opened
could anyone provide a example for use afer load model:
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
folling code ...？
i tried to input a text directly for prediciton , but some err occured.
thanks a lot
No, just do this:
from transformers import pipeline
model_name = "deepset/roberta-base-squad2"
nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
QA_input = {
'question': 'Why is model conversion important?',
'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.'
}
res = nlp(QA_input)
print(res)