Instructions to use CATIE-AQ/QAmemberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/QAmemberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CATIE-AQ/QAmemberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/QAmemberta") model = AutoModelForQuestionAnswering.from_pretrained("CATIE-AQ/QAmemberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fd1ec7cd59ce4658d26a934b9a3ea435b2282b4f53602d318f986726e54984b
- Size of remote file:
- 5.24 kB
- SHA256:
- be45e64a7a60f8b9544cf23a2327f2f3829cae38be56ce7f0b30ab9f664e7311
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