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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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**Note:** Because this repo contains multiple models with different purposes, there is **no `pipeline_tag`**. Users should select the appropriate model and pipeline for their use case. TensorFlow checkpoint requires TensorFlow >= 2.X to load manually.
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## Model Details
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### Model Description
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**Note:** Because this repo contains multiple models with different purposes, there is **no `pipeline_tag`**. Users should select the appropriate model and pipeline for their use case. TensorFlow checkpoint requires TensorFlow >= 2.X to load manually.
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This model is also available at Zenodo: https://doi.org/10.5281/zenodo.16889492
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## Model Details
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### Model Description
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