Instructions to use chojo12/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chojo12/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="chojo12/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("chojo12/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("chojo12/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chojo12/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/training_args.bin
- Command line
-
hf download hf://chojo12/cppe5_use_data_finetuning@d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/training_args.bin
4.54 kB
- Xet hash:
- 6df162216ba8f772b62a878b3d0c51165f81b9b0303ea3accce73cd8aa2f8978
- Size of remote file:
- 4.54 kB
- SHA256:
- 91554a4a54758d07c1424998d91f3aad58c349ce4a9b1df82b8d0d56634ee18f
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