Instructions to use hantech/byt5_correct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hantech/byt5_correct2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hantech/byt5_correct2") model = AutoModelForSeq2SeqLM.from_pretrained("hantech/byt5_correct2") - Notebooks
- Google Colab
- Kaggle
Pushing byt5 correct 35k model
Browse filesModel trained on 35k rows using byt5 correct
- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a846a871ef44615479cc72989fb153d96d07458fba4735311eeef850fdb0b7fa
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size 1198629109
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