Instructions to use OctavianB/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OctavianB/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OctavianB/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OctavianB/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("OctavianB/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb3cbfaae48d13289b7dafae3ae5094a502b5e2570e58c1063b27e4f49c98323
- Size of remote file:
- 4.66 kB
- SHA256:
- 378e0e36c069bc242e0e3be19ce262d4bb1595e70a2056ec87a90793312e3f88
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