Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aa02c7b13f5ef135852e7cc0a14796f6b567869204b87e57bf89ba2ecba4699
- Size of remote file:
- 738 MB
- SHA256:
- 5ef10772f72f42957fe144b94079e679022a1c68e36a9395e887f5a4eaab2e23
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