Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None 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-None 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-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0318c71154d1925c9e79cb78ff87195aef535f71f3098370d374280609aa0b7a
- Size of remote file:
- 738 MB
- SHA256:
- a91e63fc51eaba75fcf071a08de20cf9127cdaaa7083b66d822632387e104182
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