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 pytorch_model.bin from chojo12/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/pytorch_model.bin
- Command line
-
hf download hf://chojo12/cppe5_use_data_finetuning@d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/d6d137ad7366fdcf4c4d5ffbc85da99bf3fb75cf/pytorch_model.bin
167 MB
- Xet hash:
- fef8492bc8baa2afce43d1679f19f7ec5eace618f63d10930dbaef85428615ca
- Size of remote file:
- 167 MB
- SHA256:
- a99457d6932c2fc47cfe4de842e8f957e101972fa4279bf3d267ee9c172b2c78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.