Instructions to use crom87/segmentation_test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crom87/segmentation_test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="crom87/segmentation_test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("crom87/segmentation_test1") model = AutoModelForMaskGeneration.from_pretrained("crom87/segmentation_test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_weights.pt from crom87/segmentation_test1: direct link, hf CLI and curl.
- Browser
- Download file 375 MB
-
https://huggingface.co/crom87/segmentation_test1/resolve/main/model_weights.pt
- Command line
-
hf download hf://crom87/segmentation_test1/model_weights.pt
-
curl -L -o model_weights.pt https://huggingface.co/crom87/segmentation_test1/resolve/main/model_weights.pt
375 MB
- Xet hash:
- 75829043dbac401758cbf81148cd1850f72adb3a780f39b5d6e0dd836278eb20
- Size of remote file:
- 375 MB
- SHA256:
- 8febe4afe4d9b4ab1ca1223c17cdf34c320abb633d09cf5624857fa0e2c3a43a
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