Instructions to use CATIE-AQ/ModernQAmembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/ModernQAmembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CATIE-AQ/ModernQAmembert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/ModernQAmembert") model = AutoModelForQuestionAnswering.from_pretrained("CATIE-AQ/ModernQAmembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39241353421588a90605b4bd75a20450bc422856439dfdd1b554ad015d386a12
- Size of remote file:
- 5.3 kB
- SHA256:
- c7ec301f5e96d10b19e44ddbd43c62d2765067d36ba1f42f00c49717fea5cea8
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