Instructions to use titanbot/Electra-Large-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use titanbot/Electra-Large-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="titanbot/Electra-Large-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("titanbot/Electra-Large-RTE") model = AutoModelForSequenceClassification.from_pretrained("titanbot/Electra-Large-RTE") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe10e2d23581c68ad0f841eacc288e888f539f562178cdd40d7136393c19fe46
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size 1340628120
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