Instructions to use dannykellett/t1-operations-ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dannykellett/t1-operations-ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dannykellett/t1-operations-ModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dannykellett/t1-operations-ModernBERT-base") model = AutoModelForSequenceClassification.from_pretrained("dannykellett/t1-operations-ModernBERT-base") - Notebooks
- Google Colab
- Kaggle
{
"message": "Fine-tuning completed successfully.",
"metrics": {
"eval_accuracy": 0.9710144927536232,
"eval_f1": 0.9782608695652174,
"eval_precision": 0.9782608695652174,
"eval_recall": 0.9782608695652174
},
"hyperparameters": {
"learning_rate": 0.00003,
"per_device_train_batch_size": 32,
"num_train_epochs": 5,
"weight_decay": 0.01
}
}
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Model tree for dannykellett/t1-operations-ModernBERT-base
Base model
answerdotai/ModernBERT-base