Instructions to use diwank/dyda-deberta-pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diwank/dyda-deberta-pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="diwank/dyda-deberta-pair")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diwank/dyda-deberta-pair") model = AutoModelForSequenceClassification.from_pretrained("diwank/dyda-deberta-pair") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f154dbcd83711657eabe0f60539b1b218c09c0e1174bde149802217a6850fdc
- Size of remote file:
- 557 MB
- SHA256:
- e41b67ffa90447a0326cf5e7e5d1131329132e02762cc55bf43a3819c8a4a3bc
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