Instructions to use Ahmade/questionAnswer3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmade/questionAnswer3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ahmade/questionAnswer3")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ahmade/questionAnswer3") model = AutoModelForQuestionAnswering.from_pretrained("Ahmade/questionAnswer3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c51428bd58378b7c278dadfcf84c71fe157fd3fa6481647678d1a20f2fe67ea4
- Size of remote file:
- 431 MB
- SHA256:
- 4e143bae553a20cd6dedfdd8a2754c3e80d5c88836cf7113f6b96aabaa52d2bb
路
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