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:
- 16c4eea54ffa65c7a80bd6ac57288069878105db4be792a0b868ade614e7f20a
- Size of remote file:
- 595 MB
- SHA256:
- fc51f0d3393862e5e05be25b8f9d2afc46be88be165eecbe08119c92c03d7c73
路
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