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:
- e9c7dd674585d63dc075ecff1e773065335ca076e4b6b20d6e421dfd0e64ec53
- Size of remote file:
- 33 MB
- SHA256:
- 80980ce88819c7845a7ec2e3b75b8f6f56fa37b1b29f14b79bdf1e7b3f562a1c
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