Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra 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-ra 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-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e2ab9f1206cf520794bba879dfe3c8630d29cca8534aaff4559fbaeddc9b32c
- Size of remote file:
- 438 MB
- SHA256:
- 1622c7fe69a3615c31857019af71eb1bf607ac9b1221571d2e8143eb43fbd15b
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