Instructions to use manar21/bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manar21/bb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="manar21/bb")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("manar21/bb") model = AutoModelForObjectDetection.from_pretrained("manar21/bb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.2f0d0e3
-
Rename pytorch_model (1).bin to pytorch_model.bin
4cdd1c3 -
Rename preprocessor_config (1).json to preprocessor_config.json
d193bb5 -
Rename config (5).json to config.json
c81415c -
Upload preprocessor_config (1).json
ac63e31 -
Upload 2 files
73fabd0 -
initial commit
3c48a2f