Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-None 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-None 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-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-None") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcee9125d7e8c5aef00a3bb500fcf4b430dd8e5bbdb5824c7a0c1c163104397a
- Size of remote file:
- 738 MB
- SHA256:
- 3b816134a971c7abd28e293aea2bcef8b7e9d34447f823a4a0a462c2f8ab80b0
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