Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt 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-bt 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-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-bt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 286735a0cdf5c583b9555c006a3880ef16bd83f8ab49458accc84871e91bad69
- Size of remote file:
- 738 MB
- SHA256:
- bdc65cab9411edfbb43dd6678d7ed3abf439637cbb3057e6166e2318bc58fdb0
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