Instructions to use Tin113/vit5_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tin113/vit5_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tin113/vit5_model") model = AutoModelForSeq2SeqLM.from_pretrained("Tin113/vit5_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0d3d5a000bebd114c8f0a77a8cf86ed5c7f6a5f02fd93923b1b5addf2af1d0
- Size of remote file:
- 820 kB
- SHA256:
- 59986b62f9f0b90edafb9b073ea7b93d21114a5841219a1ea2399ade73f729c6
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