Instructions to use aydgroup/aydin-support-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aydgroup/aydin-support-model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="aydgroup/aydin-support-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aydgroup/aydin-support-model") model = AutoModelForQuestionAnswering.from_pretrained("aydgroup/aydin-support-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- Model Details
- Uses
- Bias, Risks, and Limitations
- How to Get Started with the Model
- Training Details
- Evaluation
- Model Examination [optional]
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Paper for aydgroup/aydin-support-model
Paper • 1910.09700 • Published • 62