Instructions to use hoangphu7122002ai/ViT5_multitask_fcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangphu7122002ai/ViT5_multitask_fcd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hoangphu7122002ai/ViT5_multitask_fcd") model = AutoModelForSeq2SeqLM.from_pretrained("hoangphu7122002ai/ViT5_multitask_fcd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae39b960d876b5a0fa4c8c82c3ed2e3c353cd56ac6f6d0eaccdc6c8efe1643d5
- Size of remote file:
- 904 MB
- SHA256:
- c427e84d5a7d8531e76e4e3b960eadfa3fdea8a0f07c95f2b154d9283743d355
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