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:
- 3da2e03a1323016089b7702e4713c52dcc140daf365d0c5b1425b741fe83ed96
- Size of remote file:
- 80.9 MB
- SHA256:
- e121a01639e86bc6f4eb2e62519161ebd93ca9acd4b47f64342ddca4a5c004a5
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