Instructions to use MilosKosRad/TextualEntailment_DeBERTa_preprocessedSciFACT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilosKosRad/TextualEntailment_DeBERTa_preprocessedSciFACT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MilosKosRad/TextualEntailment_DeBERTa_preprocessedSciFACT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MilosKosRad/TextualEntailment_DeBERTa_preprocessedSciFACT") model = AutoModelForSequenceClassification.from_pretrained("MilosKosRad/TextualEntailment_DeBERTa_preprocessedSciFACT") - 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:b6a4620d881d5f5f0e01d9e9ab2b2414d809de12c8e1b1d4bb0552d8f4457d25
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size 1740312740
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