Instructions to use BenjaminOcampo/task-implicit_task__model-bert__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-bert__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-bert__aug_method-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rsa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e69cf5c9ec8234d1f6f98b6b2adafbfdf1baba32b6946f9439a34ac8a8478b6
- Size of remote file:
- 438 MB
- SHA256:
- c52a25bd31890fbebfdc968a90ef667e960d26a15b32f5b7f6137bf296f60722
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