Instructions to use mcmonkey/clipseg-rd64-refined-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcmonkey/clipseg-rd64-refined-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mcmonkey/clipseg-rd64-refined-fp16", device_map="auto")# Load model directly from transformers import AutoProcessor, CLIPSegForImageSegmentation processor = AutoProcessor.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16") model = CLIPSegForImageSegmentation.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hey huggingface staff remember when you told me code shouldn't be reliant on safetensors metadata? yeah wtf is with the "format":"pt" requirement then??? AAAAAAHHH
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bfcd7b05b526f849cf18c3102fed42c48ef396377b8e11b777a691029ca1295
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size 301552112
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