Instructions to use ripanroy/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ripanroy/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ripanroy/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ripanroy/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("ripanroy/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b15e704b2385c9626a47dabd9128b854e9c4962fded4213161ba25cc59017a7
- Size of remote file:
- 433 MB
- SHA256:
- 124c0ec8da3a65f317c3391d8b7ae66424290f03ab667637f18bb5d3f214cbbf
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