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:
# 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 bpe.codes from RonTon05/New_MTL_Full_Finetuning_OverSampling: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/RonTon05/New_MTL_Full_Finetuning_OverSampling/resolve/main/bpe.codes
- Command line
-
hf download hf://RonTon05/New_MTL_Full_Finetuning_OverSampling/bpe.codes
-
curl -L -o bpe.codes https://huggingface.co/RonTon05/New_MTL_Full_Finetuning_OverSampling/resolve/main/bpe.codes
1.14 MB
File too large to display, you can check the raw version instead.