Instructions to use susnato/ernie-m-base_pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use susnato/ernie-m-base_pytorch with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, ErnieMModel tokenizer = AutoTokenizer.from_pretrained("susnato/ernie-m-base_pytorch", from_hf_hub=True) model = ErnieMModel.from_pretrained("susnato/ernie-m-base_pytorch", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0cbbc6cd39e21786ea07d04b87a2ed16083883a3a2b5c40ce63003ed3da4e92
- Size of remote file:
- 1.11 GB
- SHA256:
- 98b7661b6270a2d4185ba6103dcb09b784f52e41bcbcf98f91cefa98c17fd427
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