Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ra 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-ra 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-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a49d55fe92965afda8899f4c2fadf793b20e4b55545c4eeb053ec6b8e9b804bb
- Size of remote file:
- 3.39 kB
- SHA256:
- f20044d74d6f28003cf9497798ee298e5334dcc9e32ee9ea7eada567896e0697
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