Instructions to use CodeNinja1126/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeNinja1126/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeNinja1126/test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeNinja1126/test-model") model = AutoModelForSequenceClassification.from_pretrained("CodeNinja1126/test-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f05ac213d133ed4d7bdade92ada3ebf586e9a32a4704f9a6eec08ea26880818
- Size of remote file:
- 712 MB
- SHA256:
- 411accc5fbef2364c5848df5419b6a3135596ac180a1929fb7ead6622d0306e9
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