Instructions to use RonTon05/PhoBert_Hosting_Dataset65K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/PhoBert_Hosting_Dataset65K with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBertHosting tokenizer = AutoTokenizer.from_pretrained("RonTon05/PhoBert_Hosting_Dataset65K") model = PhoBertHosting.from_pretrained("RonTon05/PhoBert_Hosting_Dataset65K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3e5ab069462ca09ac6dc299a3a6d9eccb6e7cdf91ae5f90423df41e3bd8711e
- Size of remote file:
- 5.24 kB
- SHA256:
- 0f4ebbdeffbab85d2f700d977043765c685522e1cf70800e126d10cfb3d81a79
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