Instructions to use Raylei231/QA_for_SO_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raylei231/QA_for_SO_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Raylei231/QA_for_SO_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Raylei231/QA_for_SO_model") model = AutoModelForQuestionAnswering.from_pretrained("Raylei231/QA_for_SO_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10f46003816f93056e2e93c5ee1df6f70ceb5d3bc72cd977fb37d3dcd3affc84
- Size of remote file:
- 496 MB
- SHA256:
- 2c9987ae44c79216053daa4777682652fb9091124bf44e6bb91eea3e6ae78d20
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