Instructions to use polejowska/yolos-tiny-CD45RB-1000-att with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polejowska/yolos-tiny-CD45RB-1000-att with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="polejowska/yolos-tiny-CD45RB-1000-att")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("polejowska/yolos-tiny-CD45RB-1000-att") model = AutoModelForObjectDetection.from_pretrained("polejowska/yolos-tiny-CD45RB-1000-att", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from polejowska/yolos-tiny-CD45RB-1000-att: direct link, hf CLI and curl.
- Browser
- Download file 26 MB
-
https://huggingface.co/polejowska/yolos-tiny-CD45RB-1000-att/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://polejowska/yolos-tiny-CD45RB-1000-att/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/polejowska/yolos-tiny-CD45RB-1000-att/resolve/main/pytorch_model.bin
26 MB
- Xet hash:
- 4dd77bb7d9a134e02e3f670820cc0cf1553bd59fe840f2c0f6c33f75e0d6eb74
- Size of remote file:
- 26 MB
- SHA256:
- 6a9925f0133bac4c4aa97cf47b36a9441149341879bead3819cc362be2ce74f3
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