Instructions to use OpenGVLab/internimage_xl_22kto1k_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/internimage_xl_22kto1k_384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OpenGVLab/internimage_xl_22kto1k_384", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/internimage_xl_22kto1k_384", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from OpenGVLab/internimage_xl_22kto1k_384: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384/resolve/main/model.safetensors
- Command line
-
hf download hf://OpenGVLab/internimage_xl_22kto1k_384/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384/resolve/main/model.safetensors
1.34 GB
- Xet hash:
- 4ce57d23c7887983480a493fc1e50063fc6fd6186f60d0a8d50f8f90d70c9060
- Size of remote file:
- 1.34 GB
- SHA256:
- 4360b5c4d5d24dee2db55d06a186157ad243c19dcdedce972c3125ac21ffe092
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