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 config.json with huggingface_hub
Browse files- config.json +7 -0
config.json
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{
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"model_type": "deberta-v3",
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"architectures": ["DebertaV3ForSequenceClassification"],
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"hidden_size": 768,
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"num_attention_heads": 12,
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"num_hidden_layers": 12
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}
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