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:
- eeb69fb63ee3ceb81e84c57e4629a2f1a87b4eb25e7ce1c0d629bbf600426e06
- Size of remote file:
- 557 MB
- SHA256:
- 2eb9cffee411675fd76d111872066f1e9f8cbb93b57e6649de56fa632743f58b
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