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:
- 8765fc78d4cd2ce24774d2907f88b8e53813b73b54f26a21e60377b1fb93cbde
- Size of remote file:
- 1.16 GB
- SHA256:
- 89bb3c3658f646c0da03e8e9c033ef2cfe55311ad448fbc59dc1fd8aaa94f888
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