Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-deberta__aug_method-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a15b9f939bffe8f4aa9899ebc95646e865d96f52e175d42ebdf5956d2b1535ad
- Size of remote file:
- 3.39 kB
- SHA256:
- 028b9f8fa87ae70e5245d1030c4194c7fbb9089b07d61be9b53a743a4f7fd4c9
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