Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra 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-ra 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-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04fa5b550eafb1900ef29891a034403bfd5e5d472ee91eb57338c7f03fbb1d1d
- Size of remote file:
- 738 MB
- SHA256:
- 709a30c99e25b92fbdeeec6af4f6081996f3b49d22b536997d657bc524acb604
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