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:
- b0c6c2dad0b24e00235f44125c8938ae25376e5c6cffad6f959da5a04bb50508
- Size of remote file:
- 738 MB
- SHA256:
- a0dda231512df1a68a5124a39c15cc74448430cca634adb5597b91f8f6f5a9a7
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