Instructions to use mikeliou/sample_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikeliou/sample_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mikeliou/sample_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mikeliou/sample_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("mikeliou/sample_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d832686db7bea073f88bf86696537c361b6e2d000efbb8a83051aa0445d2801e
- Size of remote file:
- 5.11 kB
- SHA256:
- dd35cab08bc8922143b44935d627ae7ce908d82a79d9c2272d62fd7f82e790ca
路
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