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:
- b4db8c920d25e95475f9d3d8c5f515f413d0d688e5e5f4c463be89ffb370f102
- Size of remote file:
- 3.18 kB
- SHA256:
- b98d100a72f708006d6e516ea8affc468be7fd3812c202a9e79a6bf8a5e181c9
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