Instructions to use KhoaUIT/ViT5-MultiTask-HSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KhoaUIT/ViT5-MultiTask-HSD with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KhoaUIT/ViT5-MultiTask-HSD") model = AutoModelForSeq2SeqLM.from_pretrained("KhoaUIT/ViT5-MultiTask-HSD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c96e53fdca6c48fc374781084ab07794ce217c6343b1bdf73a667bae244240c0
- Size of remote file:
- 892 MB
- SHA256:
- 9fe97c6c92356f499a079cbd974d8f79b11a2c6293e3f5688edfc360f1c911e5
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