Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm 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-gm 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-gm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 429d7f17744b2d259bb172e9de0181a3af520299ffff4f9090bfc45dad920d81
- Size of remote file:
- 3.39 kB
- SHA256:
- f40a21d8895332a840e11fd7f4038319a1e0cd4d77df4cd6d5d97aea6e7b0854
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