Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised 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-gm_revised 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-gm_revised")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-gm_revised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a064e1306701a1d02896de89ba0eb7cd83c2d3c4b0d87e5cfe47c26ee81af8f0
- Size of remote file:
- 3.39 kB
- SHA256:
- 9377585f89e0ed31ff60aebb8d83c69b4db58b973078a8fef3e3e55b56d18ad9
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