Instructions to use RonTon05/MTL_Frozen_Binary_Head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/MTL_Frozen_Binary_Head with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("RonTon05/MTL_Frozen_Binary_Head") model = PhoBERTMultiTask.from_pretrained("RonTon05/MTL_Frozen_Binary_Head") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d940f377bd494542c91996b63093f1c6984256b9ecbb49bb1a667d223450923d
- Size of remote file:
- 5.27 kB
- SHA256:
- 70eec84bb798c62fac2c37b0a2b0f20064088f40bfd51ba5b78039797ff784f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.