Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-deberta__aug_method-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f546eb1b8cdfa6238e8cf3ddd473d01dd382531d1bfa8b839d9442f7e75fe98
- Size of remote file:
- 738 MB
- SHA256:
- 31ffb9cc194f44fbb1a4cd14987d1975f5d74af74dff91e63c42d63fd5f69496
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