Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5415a07b475f2ce5dd1518dd06b753c487de5aad6908804049491d0a816c2257
- Size of remote file:
- 3.39 kB
- SHA256:
- a2c3102980e57d60eadd7e5b46b6d0cde9731f71ce047b2a1c80d07931a0b49b
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