Instructions to use nllg/bygpt5-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/bygpt5-small-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nllg/bygpt5-small-en")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("nllg/bygpt5-small-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from nllg/bygpt5-small-en: direct link, hf CLI and curl.
- Browser
- Download file 29.1 kB
-
https://huggingface.co/nllg/bygpt5-small-en/resolve/main/trainer_state.json
- Command line
-
hf download hf://nllg/bygpt5-small-en/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/nllg/bygpt5-small-en/resolve/main/trainer_state.json
29.1 kB
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