Instructions to use alothomas/radbert-rad-verifier-single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alothomas/radbert-rad-verifier-single with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alothomas/radbert-rad-verifier-single")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alothomas/radbert-rad-verifier-single") model = AutoModelForSequenceClassification.from_pretrained("alothomas/radbert-rad-verifier-single") - Notebooks
- Google Colab
- Kaggle
Upload eval/metrics_ci.csv with huggingface_hub
Browse files- eval/metrics_ci.csv +7 -0
eval/metrics_ci.csv
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metric,mean,lo95,hi95
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accuracy,0.7384068259385665,0.715358361774744,0.7604095563139932
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f1_macro,0.735849955113505,0.7124265010267299,0.7576361788876373
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f1_micro,0.7384068259385665,0.7153583617747441,0.7604095563139931
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mcc,0.4746827620882819,0.42931468337157186,0.5181940828509641
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auroc,0.8317784108880514,0.8104457050524878,0.8517814681286039
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auprc,0.8206129490340163,0.7915604576396064,0.8475091223203132
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