Instructions to use hungphongtrn/vit5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/vit5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/vit5-base") model = AutoModelForSeq2SeqLM.from_pretrained("hungphongtrn/vit5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f706707
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Parent(s): f198528
Training in progress, epoch 30
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pytorch_model.bin
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runs/May29_16-47-50_labserver/events.out.tfevents.1717001274.labserver.2256391.0
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