Instructions to use kmc0003a/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmc0003a/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kmc0003a/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kmc0003a/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("kmc0003a/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbad4b3a76016e2b35d02e30f595b1a442f1fce317922c8a681b3ad1db6e00c7
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size 166498936
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