Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt 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-bt 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-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- defb4756d177f6d85db582c5f95bff23068803d51eb07a278d04b79a370ed3ff
- Size of remote file:
- 438 MB
- SHA256:
- 761b8b02dc3be634baadcbc8482033659dde4ab99d2a2ee1ba39e6b5e7ae2a2c
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