Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-rsa 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-rsa 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-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-rsa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a27cb03ca4812132f1db6a515bbba29308eb27fd29a92d79f9b4ab34c90f0730
- Size of remote file:
- 738 MB
- SHA256:
- 9a9a358f646ef1c3cd78cc43e6f7a8f1074406ddc7b0b85d0db562c65ffd3cf4
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