Instructions to use dusersad12/BestSweepModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestSweepModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestSweepModel-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dusersad12/BestSweepModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload config.json with huggingface_hub
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Delete pytorch_model.bin with huggingface_hub
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Delete config.json with huggingface_hub
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Delete MODEL_CARD.md with huggingface_hub
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Update MODEL_CARD.md with metrics for all runs (3 decimal places)
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Upload best run checkpoint (run_lr3e-4_wd0.01, val_loss=0.261)
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initial commit
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