Instructions to use hkunlp/from_all_T5_large_prefix_mtop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkunlp/from_all_T5_large_prefix_mtop2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hkunlp/from_all_T5_large_prefix_mtop2") model = AutoModel.from_pretrained("hkunlp/from_all_T5_large_prefix_mtop2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 695f4a4bc82f26a88b7bb66a634583a9a2b91ebacb0efd7b2d6aa61e5256add4
- Size of remote file:
- 3.26 GB
- SHA256:
- 07accc100e127ef8efedb68796f38fe22b4b16e97eb16fe6729601f95cb5948a
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