Instructions to use gkteco/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gkteco/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gkteco/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gkteco/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("gkteco/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85e7c6f34622c470984cf2ea2b320d479157849e90729a7417f5c10e472c0d83
- Size of remote file:
- 5.11 kB
- SHA256:
- 02fa9fe62ea039f53b90d3cc81a63e71b837917b9aa55cc9236a3e6832314ce0
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