Instructions to use jamesdborin/Electra-Large-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesdborin/Electra-Large-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jamesdborin/Electra-Large-MRPC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Electra-Large-MRPC") model = AutoModelForSequenceClassification.from_pretrained("jamesdborin/Electra-Large-MRPC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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uploading model
Jamie@TitanMLElectra-Large model trained on MRPCaba4121 -
uploading model
Jamie@TitanMLElectra-Large model trained on MRPC1f2375a -
uploading model
Jamie@TitanMLElectra-Large model trained on MRPC580e1a1 -
uploading model
Jamie@TitanMLElectra-Large model trained on MRPC272c564 -
uploading model
Jamie@TitanMLElectra-Large model trained on MRPC3a0acc0 -
uploading model
Jamie@TitanMLElectra-Large model trained on MRPC5e5ab43 -
initial commit
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