Instructions to use smaranjitghose/big-cat-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smaranjitghose/big-cat-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="smaranjitghose/big-cat-classifier") 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("smaranjitghose/big-cat-classifier") model = AutoModelForImageClassification.from_pretrained("smaranjitghose/big-cat-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from smaranjitghose/big-cat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/smaranjitghose/big-cat-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://smaranjitghose/big-cat-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smaranjitghose/big-cat-classifier/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- d82a0d11342e615954c276ef49572dc45e99c941fa639348850fce09e14709ab
- Size of remote file:
- 343 MB
- SHA256:
- 6b30d7c05389ccc8dacf1ca37c49c5a9812839cd8ae519f9d3f579446606e2b1
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