Instructions to use RonTon05/MTL_Frozen_backbone_binary_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/MTL_Frozen_backbone_binary_head with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/MTL_Frozen_backbone_binary_head") model = PhoBERTMultiTask.from_pretrained("RonTon05/MTL_Frozen_backbone_binary_head") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dddff5a745a1b84ab7c71eeead56801c3955c7749f1a29b633c2c537bf0c775e
- Size of remote file:
- 546 MB
- SHA256:
- 14734383f6b482f2a1c8480fae8db34d0cd387ca9263940890f88876183894e9
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