Instructions to use AliBagherz/qa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliBagherz/qa-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AliBagherz/qa-small")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AliBagherz/qa-small") model = AutoModelForQuestionAnswering.from_pretrained("AliBagherz/qa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 657d4fff7ebac6cdc9ae3abdb622bb2c5b82f3d3dae478dce31978562ccd13b2
- Size of remote file:
- 4.03 kB
- SHA256:
- 42a9a04ee8dea14a87b9726eb6cb13ac5e47f53c25dc554299e310864cc3fdb3
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