Instructions to use tiny-random/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiny-random/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="tiny-random/sam3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("tiny-random/sam3") model = AutoModel.from_pretrained("tiny-random/sam3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from tiny-random/sam3: direct link, hf CLI and curl.
- Browser
- Download file 862 kB
-
https://huggingface.co/tiny-random/sam3/resolve/main/vocab.json
- Command line
-
hf download hf://tiny-random/sam3/vocab.json
-
curl -L -o vocab.json https://huggingface.co/tiny-random/sam3/resolve/main/vocab.json
862 kB
File too large to display, you can check the raw version instead.