Instructions to use toolathlonEval/CheckpointAudit-ModelRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/CheckpointAudit-ModelRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolathlonEval/CheckpointAudit-ModelRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/CheckpointAudit-ModelRepo") model = AutoModelForSequenceClassification.from_pretrained("toolathlonEval/CheckpointAudit-ModelRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +6 -0
config.json
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{
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"model_type": "bert",
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"architectures": ["BertForSequenceClassification"],
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"checkpoint_step": 700,
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"audit_variant": "000359"
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}
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