Instructions to use hfl/chinese-electra-small-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-electra-small-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/chinese-electra-small-generator")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hfl/chinese-electra-small-generator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5abc19cb54766462aa81ca1d34527a8251b8558793237ff2b4ccc4172d94809c
- Size of remote file:
- 13.7 MB
- SHA256:
- 19dfc300d98cf6efc16475ef33b8418f8e7cc204bc7d774a542d8f07543afe47
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