Instructions to use hfl/chinese-electra-base-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-electra-base-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/chinese-electra-base-generator")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hfl/chinese-electra-base-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c040548de87dd27961010045a34cbbcb124e396ab75ae72fdd329124f6015c5
- Size of remote file:
- 89.2 MB
- SHA256:
- 58ae61c716702fdc57dcc23e4a196881d404bf77a2d8cd49c23b56b193ae94ff
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