Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-eda 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-eda 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-eda")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-eda") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-eda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 712e8582c42781a1ef73356875b949a7d8961da774a9a1665b0ab69240aa2de5
- Size of remote file:
- 738 MB
- SHA256:
- b822f937744df32ee36e3c1075d112b60c45802a5b36b8db929db81a3ed98b06
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