Instructions to use yonigozlan/EdgeTAM-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yonigozlan/EdgeTAM-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="yonigozlan/EdgeTAM-hf")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yonigozlan/EdgeTAM-hf") model = AutoModel.from_pretrained("yonigozlan/EdgeTAM-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 95 Bytes
5d7a993 | 1 2 3 4 5 6 | {
"point_pad_value": -10,
"processor_class": "Sam2VideoProcessor",
"target_size": 1024
}
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