Instructions to use nllg/bygpt5-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/bygpt5-base-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nllg/bygpt5-base-en")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("nllg/bygpt5-base-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c49882fd93a7af463a79009fa781544bf8ce807e0219fa8df0fed3c28476bfd5
- Size of remote file:
- 557 MB
- SHA256:
- 8f57f72aead92ed0674bad62f6c55f85db6ec8fe8ff6956286a475817c401b6b
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