Instructions to use NlpHUST/vit5-v1.1-base-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/vit5-v1.1-base-1024 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/vit5-v1.1-base-1024") model = AutoModelForSeq2SeqLM.from_pretrained("NlpHUST/vit5-v1.1-base-1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a5096672bd9d6997d23b70d611df3321d300ddbe3d6193b33ab4137ad411909
- Size of remote file:
- 990 MB
- SHA256:
- e4345250d84545a5902b587109af28a5d23e2e1e7967581ea551d53ecf0f7ecd
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