Instructions to use RonTon05/MTL_Full_Finetuning_ESC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/MTL_Full_Finetuning_ESC with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/MTL_Full_Finetuning_ESC") model = PhoBERTMultiTask.from_pretrained("RonTon05/MTL_Full_Finetuning_ESC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21a9e940a756d461017a721247401846f92892da4309ba0d7b05be30779720cf
- Size of remote file:
- 5.2 kB
- SHA256:
- 5591ca48ff939ea3af1492608bb45185efd26329190c18cac7590e154658f575
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