Feature Extraction
Transformers
TensorBoard
Yue Chinese
Chinese
ELECTRA
pretrained
masked-language-model
replaced-token-detection
Instructions to use IKMLab-team/HKELECTRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IKMLab-team/HKELECTRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IKMLab-team/HKELECTRA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IKMLab-team/HKELECTRA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ef249feae16422105b5cdc0ddd6e27672ea97c3e0c816778ce01581ac0ea4fa
- Size of remote file:
- 461 Bytes
- SHA256:
- d5710f85b07df9f04af744d1a2df051d3073d5cf2e8a80bb3b13cc29c6260ff6
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