Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wdmuer/test-decide-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wdmuer/test-decide-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wdmuer/test-decide-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wdmuer/test-decide-classifier") model = AutoModelForSequenceClassification.from_pretrained("wdmuer/test-decide-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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### Framework versions
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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### Framework versions
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model.safetensors
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