Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e9291587a55602ab6b7038d510353624fe61dd19db485389ba72675c35b35b4
- Size of remote file:
- 738 MB
- SHA256:
- 2a7902bb1bbfb4f2e0f013868f2b07f1352362a8330fb9a45a50c7fb70de422b
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