Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rne 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-rne 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-rne")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rne") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86980e25400109bdc78670fc9778de66eb9797b97aabf52262191b9ecdd727c9
- Size of remote file:
- 738 MB
- SHA256:
- 3ef88281a50af3dc7d0f87a8873001c325d9fe6361edb0cd00410f6083dc96aa
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