Instructions to use xiazeng/test-old-study_deberta-large_two-way with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiazeng/test-old-study_deberta-large_two-way with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiazeng/test-old-study_deberta-large_two-way")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xiazeng/test-old-study_deberta-large_two-way") model = AutoModelForSequenceClassification.from_pretrained("xiazeng/test-old-study_deberta-large_two-way") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:cc4b9400c523a2a57be7a2f8a3cd05cc6cb186f1e48902b414733c627bd20288
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size 1624911240
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