Image Segmentation
Transformers
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use amnraw/finetune-instance-segmentation-posture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amnraw/finetune-instance-segmentation-posture with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="amnraw/finetune-instance-segmentation-posture")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("amnraw/finetune-instance-segmentation-posture") model = Mask2FormerForUniversalSegmentation.from_pretrained("amnraw/finetune-instance-segmentation-posture", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 206 Bytes
89413ec | 1 2 3 4 5 6 7 8 | {
"epoch": 2.0,
"total_flos": 1.787388644818944e+17,
"train_loss": 31.292569580078126,
"train_runtime": 355.6302,
"train_samples_per_second": 8.998,
"train_steps_per_second": 0.562
} |