Instructions to use KienLe21/bert_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KienLe21/bert_qa_model with Transformers:
# 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="KienLe21/bert_qa_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("KienLe21/bert_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("KienLe21/bert_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e2ca85a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c5c6cfa9fa752ddda8957feed1d400ac7d1bc4a5132d476a2561a60f855d543e
size 5304
|