Instructions to use Data-Lab/marat_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/marat_model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Data-Lab/marat_model_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/marat_model_test") model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/marat_model_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 707077bdc4d7646ceb2e570f87f2a27ef4c6b6ffa62aa46d814c23e2f7d1b4f6
- Size of remote file:
- 514 MB
- SHA256:
- 899afdc098d459b02b2ea44d7313ec90323802629bb6b9e64e6b41fb3b72309b
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