Instructions to use ttqdunggg/multi_task_model_general_fine_tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ttqdunggg/multi_task_model_general_fine_tune with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("ttqdunggg/multi_task_model_general_fine_tune") model = PhoBERTMultiTask.from_pretrained("ttqdunggg/multi_task_model_general_fine_tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9824dd2ab8509c31217506348327c420959d3d1c44c42b149926be85e62a3bca
- Size of remote file:
- 5.5 kB
- SHA256:
- 5d3ecc7c32cda495da437d27bafe8be229f5b492d3207e831171ce5154caa470
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