Instructions to use dia218/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dia218/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dia218/use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dia218/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dia218/use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dia218/use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/dia218/use_data_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://dia218/use_data_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dia218/use_data_finetuning/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 2f6f9a3e05a0a41cd3786b1432751687fda7b2ddc00f26255e7c76e2e82bd5f4
- Size of remote file:
- 4.54 kB
- SHA256:
- ac1ab37c6cfdab04654a3b89e029a5107a955238d169d6def08c573f5540ef7f
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