Instructions to use igor-im/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igor-im/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igor-im/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("igor-im/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("igor-im/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f50350e0a2f3e95029d6234abbeedb08ed61c7073a64b611920a92b0809b59ab
- Size of remote file:
- 5.24 kB
- SHA256:
- 8c5dbb77d875b82656652acbb8381860540b1f2095d152dea24575e3650fdb6f
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