Instructions to use mraottth/trashbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mraottth/trashbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mraottth/trashbot")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mraottth/trashbot") model = SegformerForSemanticSegmentation.from_pretrained("mraottth/trashbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mraottth/trashbot: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/mraottth/trashbot/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://mraottth/trashbot@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mraottth/trashbot/resolve/refs%2Fpr%2F2/training_args.bin
3.52 kB
- Xet hash:
- e1b9b8047307079266765e3cc398afbfe0e6f4ab0d41e6a962dacd2f26d11ac6
- Size of remote file:
- 3.52 kB
- SHA256:
- cb48cdef736c004bb2c84c7bcbb92b670839b583ac425c31116ec9a5ed03adb3
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