Instructions to use ipd805/digit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipd805/digit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ipd805/digit")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ipd805/digit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ipd805/digit: direct link, hf CLI and curl.
- Browser
- Download file 94 Bytes
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https://huggingface.co/ipd805/digit/resolve/main/README.md
- Command line
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hf download hf://ipd805/digit/README.md
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curl -L -o README.md https://huggingface.co/ipd805/digit/resolve/main/README.md
94 Bytes
metadata
license: mit
pipeline_tag: object-detection
language:
- en
metrics:
- accuracy
open k