Instructions to use mraottth/trashbot_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mraottth/trashbot_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mraottth/trashbot_v1")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mraottth/trashbot_v1") model = SegformerForSemanticSegmentation.from_pretrained("mraottth/trashbot_v1") - 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 sha256:1dad20aeaed802ec2acac1209cb7893afc34d143e9365a455f4730c06eab106f
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size 338528440
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