How to use t3ta/EdgeTAM-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="t3ta/EdgeTAM-hf")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("t3ta/EdgeTAM-hf") model = AutoModel.from_pretrained("t3ta/EdgeTAM-hf", device_map="auto")
https://huggingface.co/t3ta/EdgeTAM-hf/resolve/main/processor_config.json
hf download hf://t3ta/EdgeTAM-hf/processor_config.json
curl -L -o processor_config.json https://huggingface.co/t3ta/EdgeTAM-hf/resolve/main/processor_config.json
