Instructions to use SADX/mishaljohn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SADX/mishaljohn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SADX/mishaljohn") 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("SADX/mishaljohn") model = AutoModelForImageClassification.from_pretrained("SADX/mishaljohn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SADX/mishaljohn: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/SADX/mishaljohn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SADX/mishaljohn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SADX/mishaljohn/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 26570438a849e2dda00792725666ed575f0c41bf134e4ed6401fa575b2ac8403
- Size of remote file:
- 343 MB
- SHA256:
- 6c5d6a3fb5294d87f0ba0961a6c6312ad3bc5d1f414d03b9e51b913886508d8b
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