Instructions to use onzi-suba/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onzi-suba/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="onzi-suba/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("onzi-suba/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("onzi-suba/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80f294f3367d52cde1cb1e8a155655c79f82b2e2189e9e9e25d2c984595da2f1
- Size of remote file:
- 265 MB
- SHA256:
- bd604682bcfda505cc00677d47308c8a6ed7ed84f87bb1b3c8b8fe2d415af37e
路
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