Instructions to use interneuronai/az-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interneuronai/az-question-answering 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="interneuronai/az-question-answering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("interneuronai/az-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("interneuronai/az-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature38e9eec -
Update README.md
Verified signaturea5138f5 -
Update README.md
Verified signatureb9e47ab -
Update README.md
Verified signatureb07244c -
Update README.md
Verified signatureef82c31 -
Update README.md
Verified signaturedcfe5dd -
Update README.md
Verified signature9291821 -
Create README.md
Verified signature9cad9a0 -
Upload 8 files
Verified signature8546ca3 -
initial commit
Verified signature0ba52cb