Instructions to use SamHUNG03/Finetuned-Car-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamHUNG03/Finetuned-Car-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SamHUNG03/Finetuned-Car-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("SamHUNG03/Finetuned-Car-Classifier") model = AutoModelForImageClassification.from_pretrained("SamHUNG03/Finetuned-Car-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from SamHUNG03/Finetuned-Car-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/SamHUNG03/Finetuned-Car-Classifier/resolve/main/generation_config.json
- Command line
-
hf download hf://SamHUNG03/Finetuned-Car-Classifier/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/SamHUNG03/Finetuned-Car-Classifier/resolve/main/generation_config.json
111 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "transformers_version": "4.39.0" | |
| } | |