Instructions to use hkunlp/T5_base_prefix_all_tasks_2upsample2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkunlp/T5_base_prefix_all_tasks_2upsample2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hkunlp/T5_base_prefix_all_tasks_2upsample2") model = AutoModel.from_pretrained("hkunlp/T5_base_prefix_all_tasks_2upsample2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055b9969d2e6cc9ba5681fab58e867c75ebe09c5a61a0201dc49f54653a6e830
- Size of remote file:
- 1.01 GB
- SHA256:
- e2ca0e340cdce33f5182e2b9292a1b73a5e7b82d28b6dfb4436d3fcc532a4562
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