Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 627bc8a9ebbd5da43114bc48d1a9601f5dc4c80165dcc70f717133325d91246c
- Size of remote file:
- 3.39 kB
- SHA256:
- fb580aaffc41ea5b4192905813df7b6190249cee0fdd3c55f30a627293412a23
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