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:
- 8f237f425f0190384a76fcf73617a2302e2298aaf519a7a18b356d0413adf840
- Size of remote file:
- 5.2 kB
- SHA256:
- dae7cd5cf2178a69ed5e4d4ceb6e9d619ec9371f3a5bbf0ac8292cdd2fc9f731
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