Instructions to use jamjammin/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamjammin/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jamjammin/use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jamjammin/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jamjammin/use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e50a1a7387a451797e6298dffb99589866015420f06067ded36efe05a2413416
- Size of remote file:
- 5.84 kB
- SHA256:
- 98b641b851a22d8ed2d3ff958f0e94d81e72a93d5895f2c6a2c8b713b6d02d47
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