Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a977b25fe83f73da1e8769cd39a5fa5630b646b58384d68aeef5682ada1aabd4
- Size of remote file:
- 3.39 kB
- SHA256:
- f19a265aa8bc4929f2c0735bd0836389158b95b4f58662b7c3f918c3db9f132d
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