Instructions to use goldandrabbit/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goldandrabbit/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="goldandrabbit/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("goldandrabbit/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("goldandrabbit/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6562f5baeb094b7749e753a0cd0b8323f99c54b1e0c127951ecb5515f03e4d49
- Size of remote file:
- 5.24 kB
- SHA256:
- 41b17934e22f4e4d4190ad7a58cc560a6aac2697c2e2c3d9f73cb524e0ba129e
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