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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02346bab6d131a18c95e18e06ca413476ff2d097f49b20fe1e2e40e4538c9894
- Size of remote file:
- 709 MB
- SHA256:
- f2afce3149025a728fe36a7800040af8c188e6a4befe4509f9a59042e31d64d6
路
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