Instructions to use hyo37009/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyo37009/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hyo37009/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hyo37009/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("hyo37009/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hyo37009/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/hyo37009/cppe5_use_data_finetuning/resolve/bfbca374067b6f124a6730207d334600a6ad0aab/pytorch_model.bin
- Command line
-
hf download hf://hyo37009/cppe5_use_data_finetuning@bfbca374067b6f124a6730207d334600a6ad0aab/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hyo37009/cppe5_use_data_finetuning/resolve/bfbca374067b6f124a6730207d334600a6ad0aab/pytorch_model.bin
167 MB
- Xet hash:
- 614b8e609caa4455815c7136cbc619783e18bba988dcc5194aeee132a5c531fe
- Size of remote file:
- 167 MB
- SHA256:
- c3566d8e79f1bb3020aef454e9817dfb5becb02b2028c68550b2c9fc47ec2d5f
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