Instructions to use truong-xuan-linh/vit5-reproduce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong-xuan-linh/vit5-reproduce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("truong-xuan-linh/vit5-reproduce") model = AutoModelForSeq2SeqLM.from_pretrained("truong-xuan-linh/vit5-reproduce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5be735130e35b499bb8ffdd6a535cc528d33cdcb50bdd9093c53f6028d751967
- Size of remote file:
- 5.3 kB
- SHA256:
- 83137f7c2f7c799f27c1506501783d8f23511c55400cb81d05d5a7a978e722fb
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