Instructions to use CATIE-AQ/QAmembert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/QAmembert2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CATIE-AQ/QAmembert2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/QAmembert2") model = AutoModelForQuestionAnswering.from_pretrained("CATIE-AQ/QAmembert2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1acbcb9c017eba4c5d7ebf850b791627effb9210fde75bc81a1dd5bc67893070
- Size of remote file:
- 444 MB
- SHA256:
- 1bb8a63a1a74841d77fc685c260908052299563493cc11e7e07b4c4670fe6507
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