Instructions to use RonTon05/multi_task_model_content_test_22K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/multi_task_model_content_test_22K with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/multi_task_model_content_test_22K") model = PhoBERTMultiTask.from_pretrained("RonTon05/multi_task_model_content_test_22K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b1832476dc6393cde1b61ecbebdf23dd253516c64f6acd78c2ad7c9d8116891
- Size of remote file:
- 549 MB
- SHA256:
- 26ba6bee75a973f239340e3a5cc7308d248268817db7151efce6220c746e18d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.