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/0c2e09cac76f9fa2378b976eecd98d3a4d967a67/pytorch_model.bin
- Command line
-
hf download hf://PCFISH/cppe5_use_data_finetuning@0c2e09cac76f9fa2378b976eecd98d3a4d967a67/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PCFISH/cppe5_use_data_finetuning/resolve/0c2e09cac76f9fa2378b976eecd98d3a4d967a67/pytorch_model.bin
167 MB
- Xet hash:
- 635dbd713e83ba27395604f4df941fcefaa4faf66271035d808c7c9bf1d62717
- Size of remote file:
- 167 MB
- SHA256:
- 5332047e18d672e929d3e7f3c2f53f79a7970a7a310d9811e6470d1f8700d247
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