Instructions to use mcrouch08/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcrouch08/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mcrouch08/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mcrouch08/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("mcrouch08/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98ed089bb2e8b18bd4d59b9b312d572d085afb4459ce142e512282e0bd8653d6
- Size of remote file:
- 4.98 kB
- SHA256:
- 3f77d975a698e52f092f01df522c9939ae1e76ce193ed2f91fbf958fb283ed02
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