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
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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- vision
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- image-segmentation
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- generated_from_trainer
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model-index:
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- name: trashbot
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results: []
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- vision
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- image-segmentation
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- generated_from_trainer
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base_model: nvidia/mit-b5
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model-index:
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- name: trashbot
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results: []
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