How to use from the
Use from the
Transformers library
# 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="Dylan1999/bert-squad-mrc")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("Dylan1999/bert-squad-mrc")
model = AutoModelForQuestionAnswering.from_pretrained("Dylan1999/bert-squad-mrc", device_map="auto")
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This checkpoint is a BRET cased model finetuned on SQuAD dataset. It can be used to general MRC(Machine Learning Comprehension) purposes.

Framework versions

  • Transformers 4.11.0.dev0
  • Pytorch 1.8.1+cu111
  • Datasets 1.12.2.dev0
  • Tokenizers 0.10.3
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Dataset used to train Dylan1999/bert-squad-mrc