Instructions to use leukas/byt5-base-nc16-250k-enru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leukas/byt5-base-nc16-250k-enru with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leukas/byt5-base-nc16-250k-enru") model = AutoModelForSeq2SeqLM.from_pretrained("leukas/byt5-base-nc16-250k-enru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 379c13494a55738fb4c09dd5eec3e66abbc100786a5e97de61eaa1ebf43e7af4
- Size of remote file:
- 2.33 GB
- SHA256:
- b0d458596c9d91ab2fd97b483f58a3547daeae21c38d9dac37354302e09d0e63
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