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:
- 1aeceea7f89f18b7c7fbbc558e3f311fa02455734034d589c2297f3e62ed9bce
- Size of remote file:
- 5.24 kB
- SHA256:
- ffe0ae4ee6879c6800d53c48cb08c72dbc288ccb6a548b8afdc97329f4bc0b86
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