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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83e9469c41e8e4197b843414ad57a4edf68d1c18ca72fbd3e4bb2d5887cd73c8
- Size of remote file:
- 3.39 kB
- SHA256:
- 1aba3ee1329504f4012732de152a9f2f25be149b5d7cf71acf6ba0e458501b6d
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