Instructions to use Henok21/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henok21/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Henok21/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Henok21/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Henok21/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f8bbc8f41e903272963046bc12cd458ac6e5cc23a6593847d27d60355f9944c
- Size of remote file:
- 499 MB
- SHA256:
- 3b527c97ecae66721c9276efc6a19b89ce8b498d855d61bf9e8c9dd9f459835d
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