Instructions to use dakkoong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dakkoong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dakkoong/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dakkoong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dakkoong/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 sha256:207c202d4c38f3e092065c75d74cc51a949d676a94e64383d293839c6b7c235b
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size 166497908
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