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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 406 Bytes
08f005e | 1 2 3 4 5 6 7 8 | metric,mean,lo95,hi95
accuracy,0.7384068259385665,0.715358361774744,0.7604095563139932
f1_macro,0.735849955113505,0.7124265010267299,0.7576361788876373
f1_micro,0.7384068259385665,0.7153583617747441,0.7604095563139931
mcc,0.4746827620882819,0.42931468337157186,0.5181940828509641
auroc,0.8317784108880514,0.8104457050524878,0.8517814681286039
auprc,0.8206129490340163,0.7915604576396064,0.8475091223203132
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