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:
- e83629a34c622a734dcf94cce1e2b915976462fcd7becb1b1f887bace6e3fa66
- Size of remote file:
- 738 MB
- SHA256:
- 2c6dc2b4b2b3f1584286f4cc6027e0e94fa2b6f8459297e206cf3e56ff31d8dc
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