Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav 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-aav 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-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73dda8846cb89e3d6fa203e9f1e5ce027a7738b43b049fff17f2bab116f727b2
- Size of remote file:
- 738 MB
- SHA256:
- d411b44f57534098fa6a42bd053cd2c6f067f380ac1fc5139315f28a0d84d146
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