Instructions to use prithivMLmods/Recycling-Net-11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Recycling-Net-11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Recycling-Net-11") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Recycling-Net-11") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Recycling-Net-11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-196/optimizer.pt from prithivMLmods/Recycling-Net-11: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Recycling-Net-11/resolve/main/checkpoint-196/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Recycling-Net-11/checkpoint-196/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Recycling-Net-11/resolve/main/checkpoint-196/optimizer.pt
687 MB
- Xet hash:
- 379c0988d92beddedea34e67fda5d452520d3e41590d508ca48e383b39dc3a70
- Size of remote file:
- 687 MB
- SHA256:
- bbe56d0ed466998df88e81328a4ad1abe88c3c454ab8b7039d04d7b26dc8790c
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