Instructions to use dia218/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dia218/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dia218/use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dia218/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dia218/use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dia218/use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/dia218/use_data_finetuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dia218/use_data_finetuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dia218/use_data_finetuning/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- c8a7ed27bc0282850200dcef5a261f5e4f750391040b49984f633c5d4267ba81
- Size of remote file:
- 167 MB
- SHA256:
- 53d26b95e5c466ab3d5f94b5d0730809c3e7c323f6b5f450d46c850786862e7d
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