Instructions to use eceunal/test-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eceunal/test-model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eceunal/test-model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eceunal/test-model2") model = AutoModelForSequenceClassification.from_pretrained("eceunal/test-model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ec457871b1fb9827f587266f79908f510ead81e0c60a1d3ca0990389477c46f
- Size of remote file:
- 737 MB
- SHA256:
- 67485371e2e898bf34363f6379f84688e68b09bb6170e63b3f87ee32e63c766b
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