Instructions to use casonshep/Turtle-Species-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casonshep/Turtle-Species-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="casonshep/Turtle-Species-Classification") 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("casonshep/Turtle-Species-Classification") model = AutoModelForImageClassification.from_pretrained("casonshep/Turtle-Species-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from casonshep/Turtle-Species-Classification: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/casonshep/Turtle-Species-Classification/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://casonshep/Turtle-Species-Classification@refs/pr/2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/casonshep/Turtle-Species-Classification/resolve/refs%2Fpr%2F2/optimizer.pt
687 MB
- Xet hash:
- ce175f95fd16e9328f589d4a9c5e91ca7fcadc7d56e9e6c69b325a427d014343
- Size of remote file:
- 687 MB
- SHA256:
- 9c1d1587476815f034ef16db0bae7569f79e8e2c83a911a924f83c245c6d60bd
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