Instructions to use AlanRobotics/bert_q_a_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/bert_q_a_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AlanRobotics/bert_q_a_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/bert_q_a_test") model = AutoModelForQuestionAnswering.from_pretrained("AlanRobotics/bert_q_a_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4216904 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f2afce3149025a728fe36a7800040af8c188e6a4befe4509f9a59042e31d64d6
size 709330960
|