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:
- cb92baa999ed5ca31be517800e58785131ee992f24d0358b69ffa1e0d5161625
- Size of remote file:
- 40.8 MB
- SHA256:
- 0d5f9d5019a319e4b3cc27c0338960565496a2f8733e01fc021bdf53a5dfe79f
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