Instructions to use PSW99/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW99/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PSW99/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PSW99/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("PSW99/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW99/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/PSW99/cppe5_use_data_finetuning/resolve/dfe4f52adbe2c3e81b79d782bbbf56ee46bfaf05/pytorch_model.bin
- Command line
-
hf download hf://PSW99/cppe5_use_data_finetuning@dfe4f52adbe2c3e81b79d782bbbf56ee46bfaf05/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW99/cppe5_use_data_finetuning/resolve/dfe4f52adbe2c3e81b79d782bbbf56ee46bfaf05/pytorch_model.bin
167 MB
- Xet hash:
- b0170a66c6b39c2848440485fd069cc5fac960be1e35079d70a274804e3950f8
- Size of remote file:
- 167 MB
- SHA256:
- 9e604509d065341292d99e15789946d6c9e15af03e7b8688fdae5c229ce83ad4
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