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:
- 9552644c3acead5af011ed1a04ae11517c402a2a9a2e7735cbdc307721926436
- Size of remote file:
- 49.9 MB
- SHA256:
- 0e564732c4178b7e7f6e217e8f8d9668b82aef5cb5bdaa752c145fa467f492d2
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