Feature Extraction
Transformers
TensorBoard
Yue Chinese
Chinese
ELECTRA
pretrained
masked-language-model
replaced-token-detection
Instructions to use SolarisCipher/HKELECTRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SolarisCipher/HKELECTRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SolarisCipher/HKELECTRA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SolarisCipher/HKELECTRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5600a301dade1cb99fbca59167eb3843a150d3f39fd2d3ca2d2985029bfade4c
- Size of remote file:
- 64.1 MB
- SHA256:
- e42b79cbb0ab088c11db74994dd5d0633ffed7d281ede0ab94f74ef2c3137dfd
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