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:
- a0880edba5fefba1b49edf61abbfafa9254cca76ff869f4cf90799e0f53679d1
- Size of remote file:
- 3.64 kB
- SHA256:
- ee8af0e975d378ad66c7b8194c2878f7559ce6afb7aa85fa09d01895f7b1c5e1
路
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