Instructions to use Kokolipa/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kokolipa/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kokolipa/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kokolipa/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("Kokolipa/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3831701309f3f7ce59e1888ecc0e8ca896b299c30a5a4f544eab1f0ddef4c01
- Size of remote file:
- 5.71 kB
- SHA256:
- 71e90239617394d9fa20277cec5259a1cdbac9bef787fec059a5b9d92df8a9c8
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