Instructions to use codewithdark/HybridLinformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/HybridLinformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codewithdark/HybridLinformer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import PretrainHvitLinformer model = PretrainHvitLinformer.from_pretrained("codewithdark/HybridLinformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from codewithdark/HybridLinformer: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/codewithdark/HybridLinformer/resolve/main/model.safetensors
- Command line
-
hf download hf://codewithdark/HybridLinformer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/codewithdark/HybridLinformer/resolve/main/model.safetensors
111 MB
- Xet hash:
- 3b1158d3f90f1aecd84471f3b56ef90731ecc43bb010c7cc543c9315451bff6d
- Size of remote file:
- 111 MB
- SHA256:
- cbeaf200ea5feb98b7742c75eba1a5bcbe0614ac8c02518731ce3422f9c38468
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