Instructions to use PCFISH/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PCFISH/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PCFISH/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PCFISH/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("PCFISH/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PCFISH/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/PCFISH/cppe5_use_data_finetuning/resolve/1b2f1f131e7ea58b238af01c08076f89a0001e8d/pytorch_model.bin
- Command line
-
hf download hf://PCFISH/cppe5_use_data_finetuning@1b2f1f131e7ea58b238af01c08076f89a0001e8d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PCFISH/cppe5_use_data_finetuning/resolve/1b2f1f131e7ea58b238af01c08076f89a0001e8d/pytorch_model.bin
167 MB
- Xet hash:
- 82a03db289b28b62fc2521e454d79fd873c96516023379e8afb53f963e0d6c95
- Size of remote file:
- 167 MB
- SHA256:
- 7fa4fa8856ed0d4916d458ee61b009253a61fca98a77634bb4d8798f8e856386
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