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/fadd49ce6f0f28c6af12f2ef8bfc6bce3bb4b700/pytorch_model.bin
- Command line
-
hf download hf://PCFISH/cppe5_use_data_finetuning@fadd49ce6f0f28c6af12f2ef8bfc6bce3bb4b700/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PCFISH/cppe5_use_data_finetuning/resolve/fadd49ce6f0f28c6af12f2ef8bfc6bce3bb4b700/pytorch_model.bin
167 MB
- Xet hash:
- 0335fd06fd9e1a3119c677b49dfb8297912cee241b7ee93243a49cd8be7f90d1
- Size of remote file:
- 167 MB
- SHA256:
- 713575ac07702dea3c76e8f5ba77f0c6b6b8a670d81cdec04d6e3a142cac3ceb
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