Instructions to use rishitunu/FINAL_ecc_segformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishitunu/FINAL_ecc_segformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="rishitunu/FINAL_ecc_segformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("rishitunu/FINAL_ecc_segformer") model = SegformerForSemanticSegmentation.from_pretrained("rishitunu/FINAL_ecc_segformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f5a1617 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c1cef15d940a0acd23c2ba6683e4efd3da50e190599933a3f6568f06b44bb9c
size 4536
|