Instructions to use aryaa-05/electra_consistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryaa-05/electra_consistency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aryaa-05/electra_consistency")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aryaa-05/electra_consistency") model = AutoModelForSequenceClassification.from_pretrained("aryaa-05/electra_consistency") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3622be6187b1e2210869b2c872f14e6a4f9c14a86f8a751b189f6e62b63d82ec
- Size of remote file:
- 5.2 kB
- SHA256:
- 0b2268c966d6c671974a3a6f66cc4eab325fae3e4b1248bc86f3f2892631ca51
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