Instructions to use ttqdunggg/2_task_ronbackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ttqdunggg/2_task_ronbackbone with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("ttqdunggg/2_task_ronbackbone") model = PhoBERTMultiTask.from_pretrained("ttqdunggg/2_task_ronbackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f81e4a4ce04ee8006d8019e4327714ac34ddfc7ba4987f1501c5b9d7a5a808ba
- Size of remote file:
- 5.37 kB
- SHA256:
- dab4c72b37e6adde5a013096499936683bd0f83de0dfcfadb0391830e1e6c04c
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