Instructions to use nllg/poetry-bygpt5-small-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/poetry-bygpt5-small-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nllg/poetry-bygpt5-small-de")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("nllg/poetry-bygpt5-small-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d060ed3beb1ff2dfeb09bc7b62311f6546bb7980f1353a077e4ca050b14d7f00
- Size of remote file:
- 3.44 kB
- SHA256:
- 6e3761c138d12a929e4dc407dd0500a46dd11d5b234795902f77e0044d186c04
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