Instructions to use Evan-Lin/dual-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/dual-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Evan-Lin/dual-longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Evan-Lin/dual-longformer") model = AutoModelForQuestionAnswering.from_pretrained("Evan-Lin/dual-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c2a4b33f6d2fb9a57fcd4e93574bb62162fc6fd52fb370600611ba3adeded44
- Size of remote file:
- 592 MB
- SHA256:
- b49b400453f38d293c73494f2724ba78bdaecb58d44f67e84595231632befbba
路
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