Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri 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-ri 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-ri")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b8d3f9209e1bd76cf5ea590d65e4f546e04dc7903510146fa447fd9dd6577fc
- Size of remote file:
- 3.39 kB
- SHA256:
- f2fb278e80663261714194dbfd265828db196728e86a5073467eaddb88cfcb26
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