Instructions to use uw-madison/nystromformer-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uw-madison/nystromformer-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uw-madison/nystromformer-512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uw-madison/nystromformer-512") model = AutoModelForMaskedLM.from_pretrained("uw-madison/nystromformer-512", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uw-madison/nystromformer-512: direct link, hf CLI and curl.
- Browser
- Download file 437 MB
-
https://huggingface.co/uw-madison/nystromformer-512/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uw-madison/nystromformer-512/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uw-madison/nystromformer-512/resolve/main/pytorch_model.bin
437 MB
- Xet hash:
- 28d84e37ace8d1c75878d66a4794d1390da160457e3c512ed5bdd1fdaaeaa28d
- Size of remote file:
- 437 MB
- SHA256:
- c2212124f7f0752b393bb1577cae0d0056f1e7ea932251d9bed431a091275c85
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