Instructions to use Justin331/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Justin331/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="Justin331/sam3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Justin331/sam3") model = AutoModel.from_pretrained("Justin331/sam3") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
bpe_simple_vocab_16e6.txt.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:924691ac288e54409236115652ad4aa250f48203de50a9e4722a6ecd48d6804a
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size 1356917
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