Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-bert__aug_method-rne")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-rne") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-rne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c977170088be30d161f1360d78c292b701e0aaf257813e3bdac1f18548bb205
- Size of remote file:
- 438 MB
- SHA256:
- 1a6a9b927923a118eb2fe15b6a524b0d3bb61155f4b9c1c529d6db8c7b6d785e
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