Text Classification
Transformers
PyTorch
TensorBoard
electra
Generated from Trainer
Eval Results (legacy)
Instructions to use jiiyy/electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/electra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/electra") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/electra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c51c80f403b2ad3e4545b5703f0baf5cfece645aa37655c6b30259bcef6b74c
- Size of remote file:
- 3.96 kB
- SHA256:
- 68750dab7d4e470fed932e44c0fbdc46c787e85b7c2d04813fba7cd1336371ed
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