Instructions to use francois-meyer/nguni-byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use francois-meyer/nguni-byt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("francois-meyer/nguni-byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("francois-meyer/nguni-byt5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f953a597184f1cae4f13cebe30c91bb4dbc33cfde06722828e56737b927eff
- Size of remote file:
- 4.92 GB
- SHA256:
- 36ab0468b8fd646afd60c3ac6c231bd9f17a24e02569f6bb92e738017c0e7c6d
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