Instructions to use PaddleCI/tiny-random-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-bert with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, BertForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-bert", from_hf_hub=True) model = BertForMaskedLM.from_pretrained("PaddleCI/tiny-random-bert", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
Download model_state.pdparams from PaddleCI/tiny-random-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/PaddleCI/tiny-random-bert/resolve/main/model_state.pdparams
- Command line
-
hf download hf://PaddleCI/tiny-random-bert/model_state.pdparams
-
curl -L -o model_state.pdparams https://huggingface.co/PaddleCI/tiny-random-bert/resolve/main/model_state.pdparams
2.1 MB
- Xet hash:
- 5ec68dfec7a662ecfce4ef382235d190597dab9b68114960874ff91c8c1311af
- Size of remote file:
- 2.1 MB
- SHA256:
- ab2790874db7a25e6555cb4fb6bccb26758b3ea546be1200d9336b5b213bf0ef
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