Instructions to use SMD00/QA_model-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMD00/QA_model-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SMD00/QA_model-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SMD00/QA_model-roberta") model = AutoModelForQuestionAnswering.from_pretrained("SMD00/QA_model-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c4a02548fc92eae03ce657253ddba9e596cffb2526514d12e2f39d8a1733b11
- Size of remote file:
- 496 MB
- SHA256:
- bddf0e4dffa5fb825b8f94305d4159908b5083297944e3dc59fafb9ce80f22d2
路
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