Instructions to use jamesdborin/Electra-Large-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesdborin/Electra-Large-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jamesdborin/Electra-Large-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Electra-Large-RTE") model = AutoModelForSequenceClassification.from_pretrained("jamesdborin/Electra-Large-RTE") - Notebooks
- Google Colab
- Kaggle
Jamie@TitanML commited on
Commit ·
ecfd8a9
1
Parent(s): fa6bc39
uploading model
Browse filesElectra-Large model trained on MRPC
- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ea622031f3941b7d08edd6d42e63b2841fccc08464fec80cd7c597f8800d667
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size 1340715765
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