Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri 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-ri 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-ri")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7e39a9d31ffcd3a4611231f2b387055ff6746cb9a063edf551c39aa495920f
- Size of remote file:
- 3.39 kB
- SHA256:
- fc680622a5e4eb79d373fb02915b9e7edf55ceabb177167fcb8c2d8daef36f8e
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