Instructions to use crom87/segmentation_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crom87/segmentation_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="crom87/segmentation_test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("crom87/segmentation_test2") model = AutoModelForMaskGeneration.from_pretrained("crom87/segmentation_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_weights.pt from crom87/segmentation_test2: direct link, hf CLI and curl.
- Browser
- Download file 375 MB
-
https://huggingface.co/crom87/segmentation_test2/resolve/main/model_weights.pt
- Command line
-
hf download hf://crom87/segmentation_test2/model_weights.pt
-
curl -L -o model_weights.pt https://huggingface.co/crom87/segmentation_test2/resolve/main/model_weights.pt
375 MB
- Xet hash:
- a42928366c3aee78cdf4c5c1706c92e970a721ebd6851c829d182afadb74da97
- Size of remote file:
- 375 MB
- SHA256:
- 03b07d9340aeb42130283ae1a626c4a5e963670e7d4d7a0f2de3792de2fbf64f
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