Instructions to use vodiylik/example_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vodiylik/example_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vodiylik/example_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vodiylik/example_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("vodiylik/example_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c1232cb33e1a14871f0c4e10842ed3a440667fd89b947a0badc110a32078730
- Size of remote file:
- 265 MB
- SHA256:
- f6e47aabd4f21b88342780500ccf54352bc9e28155afa8ccfd853d51fac11067
路
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