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")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dusersad12/BestSweepModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best run checkpoint (run_lr3e-4_wd0.01, val_loss=0.261)
Browse files- config.json +6 -0
- pytorch_model.bin +3 -0
config.json
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{
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"model_type": "bert",
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"architectures": ["BertModel"],
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"hidden_size": 768,
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"num_attention_heads": 12
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbdb06a905403b419f0047226915f55c99769d331a237b18e5319c12164b824a
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size 4096
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