Instructions to use Ateeb/QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ateeb/QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ateeb/QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ateeb/QA") model = AutoModelForQuestionAnswering.from_pretrained("Ateeb/QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea7b3ad67307bbee4fa77313e77ddce49b23a8905047a56500c81986082e6c05
- Size of remote file:
- 265 MB
- SHA256:
- b8cccd7fb599db7567c7ad9506415596698f1de0cdda9f473af71a8edd791450
路
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