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:
- 90c431d96802eeab7912a9903c6a63c2b53c07597f703235c9ac442590a4a05a
- Size of remote file:
- 3.39 kB
- SHA256:
- db3103376b738796580abff1522ecec6ab4d243da585160a80634a799298a1ca
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