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:
- 26db47ab26f1907402937b8ed554771dc1baf70e5570aad41c8e13b56135024d
- Size of remote file:
- 738 MB
- SHA256:
- 149568b87a97f61ee217f0aab6fb8c20772a8c9913006002c8ea285ab2c0e578
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