Instructions to use nllg/bygpt5-medium-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/bygpt5-medium-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nllg/bygpt5-medium-de")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("nllg/bygpt5-medium-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bd254c294f2762f687e6065aec293a018c1031888c410d4e89be5002b4f6611
- Size of remote file:
- 3.38 kB
- SHA256:
- 641ff185ddda2a4b44faabb6f6a79df6838d52cb9d83b841bcd6fde5ccf90020
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