Instructions to use phunganhsang/finetune_cls_backbone_2task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/finetune_cls_backbone_2task with Transformers:
# Load model directly from transformers import AutoTokenizer, PhoBERTMultiTask tokenizer = AutoTokenizer.from_pretrained("phunganhsang/finetune_cls_backbone_2task") model = PhoBERTMultiTask.from_pretrained("phunganhsang/finetune_cls_backbone_2task") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd98f52172c7ae3556f3b261b7c04f8deea5dcd7b1678b2041c8e06bf2f0b0a
- Size of remote file:
- 5.37 kB
- SHA256:
- 8f0ab0ca1370551f5dcc4b36424cf16587e9235c8d7a59676730b092f41a655a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.