Instructions to use georgebv/rtbs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use georgebv/rtbs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="georgebv/rtbs") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("georgebv/rtbs") model = AutoModelForImageClassification.from_pretrained("georgebv/rtbs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from georgebv/rtbs: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/georgebv/rtbs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://georgebv/rtbs/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/georgebv/rtbs/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 9727c1a30e14d8ea9d9a94abb65248072b98d2b9e29d23df1a9d8fd78ea87ef9
- Size of remote file:
- 343 MB
- SHA256:
- c3dc986e4560775bf26ffb84c4aaef70cbc03336f49227bcb1c851df102c4c4e
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