Instructions to use imohammad12/GRS-complex-simple-classifier-DeBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imohammad12/GRS-complex-simple-classifier-DeBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="imohammad12/GRS-complex-simple-classifier-DeBerta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("imohammad12/GRS-complex-simple-classifier-DeBerta") model = AutoModelForSequenceClassification.from_pretrained("imohammad12/GRS-complex-simple-classifier-DeBerta") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Citation
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Please cite
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@inproceedings{dehghan-etal-2022-grs,
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## Citation
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Please star the [GRS GitHub repo](https://github.com/imohammad12/GRS) and cite the paper if you found our model useful:
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```
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@inproceedings{dehghan-etal-2022-grs,
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