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:
- 160bd2a5cf53a9c81df57504f59bf1106a9233f22fbd89ef89cc60c1d2d420d8
- Size of remote file:
- 5.37 kB
- SHA256:
- 64cd1aba27b68f45545caa8190b5daa9b4a60c03e2b56d89bda6e67e23022c21
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