Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-bert__aug_method-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-rsa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fe39b894acc48e0c16bd6b2c2173a95e3bc4a761a198899e31eb9a8eab4614d
- Size of remote file:
- 438 MB
- SHA256:
- 079ced6da6fe4fcbb58f2b5d9d53fad368f17e07e21cdf558a19e08f40467e6c
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