Instructions to use seunbite/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seunbite/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seunbite/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seunbite/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("seunbite/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b800292b63f4a31cbb345f99fdd20563c52c1a027464bb98b807fae2bc58ce6
- Size of remote file:
- 5.24 kB
- SHA256:
- 6d50d04b5f29b4d440cfb5a5c8b73f1aa018da6ed68f9bbe2d761583ea2b762e
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