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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5866635298e6ae3bb12d0f7303b0b06c79bc369dcbfaa0beb052d9a74f0fcc8
- Size of remote file:
- 3.9 kB
- SHA256:
- ab99c72cf85330964318f2d249ca170d21b5e0f5b71052590820c3910178a9e6
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