Instructions to use MrPotato/ReferenceSegmentationLarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrPotato/ReferenceSegmentationLarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MrPotato/ReferenceSegmentationLarge", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MrPotato/ReferenceSegmentationLarge", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("MrPotato/ReferenceSegmentationLarge", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 11 months ago
by
SFconvertbot