Instructions to use francoMG/sara-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use francoMG/sara-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="francoMG/sara-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("francoMG/sara-qa") model = AutoModelForQuestionAnswering.from_pretrained("francoMG/sara-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 537e04b6bbf1f7d1b078f0392ac5d19e144de0aeb94c2b6761fc3ce89a945e6f
- Size of remote file:
- 437 MB
- SHA256:
- 0e1969327bcd20cc0162fd8ff9bb4f4829cb3fb3d0cb30f1666dcc8d9e17ba94
路
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