Instructions to use stefandi/test_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefandi/test_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="stefandi/test_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("stefandi/test_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("stefandi/test_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3241e3ad8e19402b5d0bfe400c495dbd3bfc73ae54d3e2b2fe6124cddab034b9
- Size of remote file:
- 265 MB
- SHA256:
- 0632f8a95c7589e57c5f91d9f934cc50f00c66e4d3bb1604f44382af12c74db3
路
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