Instructions to use CLTL/binary_icf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/binary_icf_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/binary_icf_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/binary_icf_classifier") model = AutoModelForSequenceClassification.from_pretrained("CLTL/binary_icf_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 150 Bytes
a02448c | 1 2 3 4 5 6 7 8 9 | auprc = 0.46705859825493107 auroc = 0.9338443755883405 eval_loss = 0.3807122678076797 fn = 191 fp = 2521 mcc = 0.4405866080236367 tn = 18041 tp = 989 |