Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use 47ag925/trash_classifier3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 47ag925/trash_classifier3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="47ag925/trash_classifier3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("47ag925/trash_classifier3") model = AutoModelForImageClassification.from_pretrained("47ag925/trash_classifier3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 47ag925/trash_classifier3: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/47ag925/trash_classifier3/resolve/main/training_args.bin
- Command line
-
hf download hf://47ag925/trash_classifier3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/47ag925/trash_classifier3/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- f8bcc8df4833910e49962fb2191075252ad02f87fc8324f0b2d0176598ea0276
- Size of remote file:
- 5.84 kB
- SHA256:
- f6a87abd163d3fbe30fc6a23c56c072a17cfb974c6059b2c7cfbe81c743062c6
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