Instructions to use deetsml/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deetsml/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deetsml/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deetsml/dummy-model") model = AutoModel.from_pretrained("deetsml/dummy-model") - Notebooks
- Google Colab
- Kaggle
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README.md
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"epochs": 1,
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"evaluation_steps": 0,
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"evaluator": "
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"epochs": 1,
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"evaluator": "accuracy",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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