Instructions to use RonTon05/MTL_Frozen_Binary_Head_ESC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/MTL_Frozen_Binary_Head_ESC with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/MTL_Frozen_Binary_Head_ESC") model = PhoBERTMultiTask.from_pretrained("RonTon05/MTL_Frozen_Binary_Head_ESC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce7ad49bf24e37aac3768652c274c0f0058f1a13900c5e0bd25027ec4393995b
- Size of remote file:
- 5.2 kB
- SHA256:
- 57f6b5fba539bff245c46d3d7a12b2790206aa3195cbf4e54e9ccc5fa97597fe
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