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")# 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 tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +4 -0
tokenizer_config.json
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{
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"model_max_length": 512,
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"tokenizer_class": "BertTokenizerFast"
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}
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