Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efd3535245234faa46a3685c08d5c30e65467eaf911a7e2f982382ff6dfef027
- Size of remote file:
- 738 MB
- SHA256:
- 808f6caab7a3b7631b94c1a6715aa50cdc6086ef192670138b2ea23d8546fe07
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