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:
- 094ad62ba3e3077ff6e14dded48b690254ba646023df4c3de210990ad99a0e55
- Size of remote file:
- 623 Bytes
- SHA256:
- 5d704edbfe12241d286e05c496ef37911f88b105598ac73e2a4d31b89bc1d83c
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