Instructions to use uw-madison/nystromformer-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uw-madison/nystromformer-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uw-madison/nystromformer-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uw-madison/nystromformer-1024") model = AutoModelForMaskedLM.from_pretrained("uw-madison/nystromformer-1024") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Nystromformer for sequence length 1024 trained on WikiText-103 v1 for 150 epochs.
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