Instructions to use Qifa/model_30epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qifa/model_30epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Qifa/model_30epochs")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Qifa/model_30epochs") model = AutoModelForObjectDetection.from_pretrained("Qifa/model_30epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Qifa/model_30epochs: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/Qifa/model_30epochs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Qifa/model_30epochs/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Qifa/model_30epochs/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 38b7e210d32ce08028466e107fd0613eb764c6de1de89eb294e0781e0018a289
- Size of remote file:
- 123 MB
- SHA256:
- c73f9000361e72accd379525f0d5957284873b292fcb5d4adbf0e1fd952d24a3
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