Instructions to use jenspt/byt5_ft_error_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jenspt/byt5_ft_error_only with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jenspt/byt5_ft_error_only") model = AutoModelForSeq2SeqLM.from_pretrained("jenspt/byt5_ft_error_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jenspt/byt5_ft_error_only: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/jenspt/byt5_ft_error_only/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jenspt/byt5_ft_error_only/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jenspt/byt5_ft_error_only/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- ad36153d9afd04fe5c18cb3c8a4e975bbddac0d9427c26de26bf33924894282e
- Size of remote file:
- 1.2 GB
- SHA256:
- 1c0076df562bcb67be42bd7b62a188321c70358e6134f106e98e52b1e9914481
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