Instructions to use hula0627/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hula0627/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hula0627/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hula0627/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("hula0627/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab01660bb5aba1d8e59356832d1f22a4d5308ef7231b4477097e489abb8a3515
- Size of remote file:
- 166 MB
- SHA256:
- df36054085ea680e19f91939f6f42b1960b9349a91c6c83bf54d5b4b1a5dbe7a
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