Instructions to use h2thez3/sam_busi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h2thez3/sam_busi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="h2thez3/sam_busi")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("h2thez3/sam_busi") model = AutoModelForMaskGeneration.from_pretrained("h2thez3/sam_busi") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:61ba1d353b80928eb7600e7f5d063a558ec487cd3da4ebcbd06cabacec5ba965
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size 374979480
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