Instructions to use RonTon05/New_MTL_Full_Finetuning_OverSampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/New_MTL_Full_Finetuning_OverSampling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/New_MTL_Full_Finetuning_OverSampling") model = PhoBERTMultiTask.from_pretrained("RonTon05/New_MTL_Full_Finetuning_OverSampling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RonTon05/New_MTL_Full_Finetuning_OverSampling: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/RonTon05/New_MTL_Full_Finetuning_OverSampling/resolve/main/training_args.bin
- Command line
-
hf download hf://RonTon05/New_MTL_Full_Finetuning_OverSampling/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RonTon05/New_MTL_Full_Finetuning_OverSampling/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- b1d7e77fe8aea7d11d200b16d840cf4f2e8621b9241f56873f92633700971df8
- Size of remote file:
- 5.27 kB
- SHA256:
- 4ed8fa8f1f6d3f7138dc1cecdb9da3af9c592524e31497a754093f854907eef9
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