Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-eda 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-eda 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-eda")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-eda") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-eda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eb082f051276dccb52fb5191794408bda036701b735f2a3f1ef089d6f07dcb4
- Size of remote file:
- 3.39 kB
- SHA256:
- aa5287570a5abd23e16f829af9facd79ff5637e5eb9c83f4a29ca242805b6b67
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