Instructions to use aware-ai/longformer-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/longformer-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aware-ai/longformer-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aware-ai/longformer-QA") model = AutoModelForQuestionAnswering.from_pretrained("aware-ai/longformer-QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bd60bb66ee829f4476c51cf6894bba09af40616fd7972ada883233bd5a1e367
- Size of remote file:
- 1.82 kB
- SHA256:
- 1862fa0bf1e47a8c440a16c797b5a9d11b40051de7945abdff7ff01080eab5ab
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