Instructions to use aware-ai/longformer-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/longformer-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aware-ai/longformer-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aware-ai/longformer-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("aware-ai/longformer-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c9eae5f2bc05edab44b7661694ae77605cacbfebbf94072e3ccd163235f1f2d
- Size of remote file:
- 595 MB
- SHA256:
- 8eb1a76376393e448df4bca394acb4a97ea7461f7658bc25674d51598450d66c
路
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