Instructions to use google/byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23af8b8268483baf5d8e0555c9b1ce9e7b81d5dee42119654f9fb367a2eebaab
- Size of remote file:
- 4.91 GB
- SHA256:
- fc0a54ec37f9ee67fe738a727b1a732d5ecca453484e9de25e863ee4e4e110f5
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