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")# 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
Upload spiece.model with git-lfs
Browse files- spiece.model +3 -0
spiece.model
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