Model Details
Full Model IDXenova/slimsam-77-uniform
Pipeline / Taskmask-generation
Librarytransformers.js
Downloads (all-time)13.9K
Likes24
Last Modified3/18/2026
Author / OrgXenova
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("mask-generation", model="Xenova/slimsam-77-uniform")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformers.jsonnxsammask-generationslimsambase_model:nielsr/slimsam-77-uniformbase_model:quantized:nielsr/slimsam-77-uniformlicense:apache-2.0region:us
More mask-generation Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: mask-generation
This model is designed for the mask-generation task. Explore more models for this use case.
All mask-generation Models →📊 Popularity
⬇ Downloads13.9K
❤️ Community Likes24
🛠️ Requirements
- →Install: pip install transformers.js
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.