Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4120820c4889f3d88f01c9c4302f9771e7f9775a1ac7f71bcf44dbe28ec7fd0d
- Size of remote file:
- 738 MB
- SHA256:
- 913a57029826a735e56a5360672328a184b642ec5d16b2da2498721ac56a95c1
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