Instructions to use gaf7921/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaf7921/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gaf7921/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gaf7921/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("gaf7921/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gaf7921/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/gaf7921/cppe5_use_data_finetuning/resolve/a8ae7f87cd3ff6a24aaaee435c8729dd89ebc8a5/pytorch_model.bin
- Command line
-
hf download hf://gaf7921/cppe5_use_data_finetuning@a8ae7f87cd3ff6a24aaaee435c8729dd89ebc8a5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gaf7921/cppe5_use_data_finetuning/resolve/a8ae7f87cd3ff6a24aaaee435c8729dd89ebc8a5/pytorch_model.bin
167 MB
- Xet hash:
- 56636dba0bb2aae14036119b11123bc012e94ae4c3c33ad008f93f912fc8f0dd
- Size of remote file:
- 167 MB
- SHA256:
- dc79eb2f684a7ab381888aa899e1c9a00ad304d85299a65b1a746c6e74f79bc9
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