Instructions to use ThrFergus/fish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThrFergus/fish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ThrFergus/fish") 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("ThrFergus/fish") model = AutoModelForImageClassification.from_pretrained("ThrFergus/fish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ThrFergus/fish: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/ThrFergus/fish/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ThrFergus/fish/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ThrFergus/fish/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 16911890a73c83392b33b92a74f9543b37d6d307a59a262d51862adddb11d63d
- Size of remote file:
- 343 MB
- SHA256:
- af96f97f0f0aa27f9363f0b8629dd51c4245209534d67fd7b14b7b87677cbc9f
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