Instructions to use sirdug/Hand-Writing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sirdug/Hand-Writing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sirdug/Hand-Writing") 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("sirdug/Hand-Writing") model = AutoModelForImageClassification.from_pretrained("sirdug/Hand-Writing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sirdug/Hand-Writing: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/sirdug/Hand-Writing/resolve/main/training_args.bin
- Command line
-
hf download hf://sirdug/Hand-Writing/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sirdug/Hand-Writing/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- c78260c9baff21ab09cd1834241e572caa857036ace95bf85a25f3201c5413f2
- Size of remote file:
- 4.98 kB
- SHA256:
- ead79a932c823b96eaa6e7e296bc5b4a863dab88ede9bac41c9801e82440278e
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