Instructions to use eceunal/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eceunal/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eceunal/test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eceunal/test-model") model = AutoModelForSequenceClassification.from_pretrained("eceunal/test-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d2fbd4b4a997deb29d47057de3551e9a3f02eb694d30f64458b277c1ee35806
- Size of remote file:
- 737 MB
- SHA256:
- dc3ff68093fe57415096804c53e401cf1312583f72c147705f6c8cbe8671735f
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