Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af4311a46fa9756d441a49ef84920aa96aceb1cd2255fba115a35dc3a836c98c
- Size of remote file:
- 3.39 kB
- SHA256:
- ccc840db37be34c76a0e6a87d9c204feb97ad0c6bdc4c3d45d94b04df878ab84
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