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/48cdbd13c7ffd9560e6def176998f756a8eaec96/pytorch_model.bin
- Command line
-
hf download hf://PCFISH/cppe5_use_data_finetuning@48cdbd13c7ffd9560e6def176998f756a8eaec96/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PCFISH/cppe5_use_data_finetuning/resolve/48cdbd13c7ffd9560e6def176998f756a8eaec96/pytorch_model.bin
167 MB
- Xet hash:
- 7f66d0986b1db70dfecb13e0510f4f0cd7ab936797b7bf01307998e9ab80c056
- Size of remote file:
- 167 MB
- SHA256:
- 233fc4a7a075e5b73ada2ecbb0847c8ef313aef663818489407af056a5278e74
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