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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4535eceb02054da4f6c9588bea5d2dda9937f744f1345d8ce4d4326d99c44981
- Size of remote file:
- 595 MB
- SHA256:
- 365d465265f7230d9b5d6b42b92fcaf02e1df34829d8f5d913055a0aed1e6e3a
路
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