Instructions to use ERO26/FP_Classifcation-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ERO26/FP_Classifcation-V1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ERO26/FP_Classifcation-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 572 Bytes
ac52a9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 | precision recall f1-score support
Fetal abdomen 0.7842 0.8583 0.8195 127
Fetal brain 0.9882 0.9862 0.9872 509
Fetal femur 0.7967 0.8788 0.8357 165
Fetal thorax 0.8467 0.8889 0.8673 261
Maternal cervix 0.9880 0.9802 0.9841 253
Other 0.9354 0.8944 0.9144 890
accuracy 0.9215 2205
macro avg 0.8899 0.9145 0.9014 2205
weighted avg 0.9240 0.9215 0.9223 2205
|