Instructions to use techtank/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techtank/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="techtank/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("techtank/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("techtank/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eaedc55b8158ce8bc731055c36b2cc779c1e3bb9d9efe4c2b0bab99b9fe2150
- Size of remote file:
- 3.96 kB
- SHA256:
- 358bee785dd6599039e0787f9c8d57ec9ae301f0302b5b97060a0586faa41d88
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