Instructions to use google/byt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e6dd97c8a11bcde254ed5d27a545265bbd9ff5da22467fc3a6ccef2fcb02ba9
- Size of remote file:
- 1.2 GB
- SHA256:
- 5c5aaf56299d6f2d4eaadad550a40765198828ead4d74f0a15f91cbe0961931a
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