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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uw-madison/nystromformer-1024") model = AutoModelForMaskedLM.from_pretrained("uw-madison/nystromformer-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uw-madison/nystromformer-1024: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/uw-madison/nystromformer-1024/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uw-madison/nystromformer-1024/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uw-madison/nystromformer-1024/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- c6c2e871a54cf9aa86a5a5e624f9825cbb2711e8b1439751bc9546c0d51b8cd0
- Size of remote file:
- 438 MB
- SHA256:
- 22643545864c9c1b393d74a78cf0a253a458d1a9c60bbf8ed6a158ec5aafc120
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