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
| auprc = 0.46705859825493107 | |
| auroc = 0.9338443755883405 | |
| eval_loss = 0.3807122678076797 | |
| fn = 191 | |
| fp = 2521 | |
| mcc = 0.4405866080236367 | |
| tn = 18041 | |
| tp = 989 | |