Instructions to use PaddleCI/tiny-random-ernie-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-ernie-m with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UIEM tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-ernie-m", from_hf_hub=True) model = UIEM.from_pretrained("PaddleCI/tiny-random-ernie-m", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
Download model_state.pdparams from PaddleCI/tiny-random-ernie-m: direct link, hf CLI and curl.
- Browser
- Download file 8.03 MB
-
https://huggingface.co/PaddleCI/tiny-random-ernie-m/resolve/main/model_state.pdparams
- Command line
-
hf download hf://PaddleCI/tiny-random-ernie-m/model_state.pdparams
-
curl -L -o model_state.pdparams https://huggingface.co/PaddleCI/tiny-random-ernie-m/resolve/main/model_state.pdparams
8.03 MB
- Xet hash:
- 89aaed1ccb280d4a2892962823fec990f8a41e6ac56a4de8835c7650d89b7f73
- Size of remote file:
- 8.03 MB
- SHA256:
- 972da86dfcd977eee3cde987593a63eb27810be4d74366bbd0338cd0887d7372
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