Instructions to use Tuteldove/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tuteldove/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tuteldove/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tuteldove/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("Tuteldove/dummy-model") - Notebooks
- Google Colab
- Kaggle
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README.md
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lr_scheduler_type: linear
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Training results
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Epoch Training Loss Validation Loss
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1 No log 0.674658 0.480000
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2 No log 0.640980 0.600000
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3 No log 0.640266 0.640000
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lr_scheduler_type: linear
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num_epochs: 3.0
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Training results
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