Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c34509395fe35c10906c3c5da8fce7afd05aad817cb74274f23bfb6ec59e9149
- Size of remote file:
- 738 MB
- SHA256:
- 9d9dff95f1dfe9937c5ee05702bade49337d5b27dee5e011ef750a2b3ad8b780
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