Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised 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-gm_revised 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-gm_revised")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44f9b3fa573b72eab1f81c338daa3d4eb8e2417ccf1bfe627a29451598514ea5
- Size of remote file:
- 738 MB
- SHA256:
- 685100984f87bce7406adfe2fb98976e30fa43f087d1a22cc9a2571aac2309a3
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