Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-deberta__aug_method-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49223a3223d5c4e7463086978195e401b2bb426aca8ca2e17f2f7791b00fb31e
- Size of remote file:
- 738 MB
- SHA256:
- 8cfda417f5f427ce2fa143c90106e85b4d770cd545c7f67fc1eeaf74057761f9
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