Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use PracticalWork/ModernBERT-large-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PracticalWork/ModernBERT-large-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PracticalWork/ModernBERT-large-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PracticalWork/ModernBERT-large-classifier") model = AutoModelForSequenceClassification.from_pretrained("PracticalWork/ModernBERT-large-classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9001
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- F1: 0.8191
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3071
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- Accuracy: 0.9001
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- F1: 0.8191
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