Instructions to use sdyy/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdyy/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sdyy/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sdyy/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("sdyy/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c3e07bd6b15423d5460ee08f4796f2d86cdf2956d9a115185e158d5d9e46a7a
- Size of remote file:
- 5.05 kB
- SHA256:
- b2cf57c6d99a0381810a76bc28f56dc0b9ba2c5c17b777f287c56052fdb2f0cc
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