Instructions to use diwank/maptask-deberta-pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diwank/maptask-deberta-pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="diwank/maptask-deberta-pair")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diwank/maptask-deberta-pair") model = AutoModelForSequenceClassification.from_pretrained("diwank/maptask-deberta-pair", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef664ef2f1cf15435a7f850b293ca3f199f01dd950d3e274e5401257ecb4952
- Size of remote file:
- 557 MB
- SHA256:
- 3b9f7068ae8a61a4c09f8bd73af94029333c6f386068d0dee44bd6abff51bd6e
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