Instructions to use HichTala/draw2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HichTala/draw2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="HichTala/draw2")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("HichTala/draw2") model = AutoModelForImageClassification.from_pretrained("HichTala/draw2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Japanese (JA) card names
Verified signatureAdds a JA field to every card entry, alongside the existing EN/FR/DE/IT/PT, so `--language JA` works out of the box (the flag already reads any key present in this file, no code change needed). 13,966 / 14,371 cards matched (97.2%); the rest are very recent cards not yet in the source dataset and simply have no JA field, same as any other card missing a given language today. Source: YGOJSON (github.com/iconmaster5326/YGOJSON, MIT licensed), which aggregates official Japanese names from Yugipedia, matched here by Konami passcode (the existing card_id key in this file). Verified: every existing EN/FR/DE/IT/PT value is byte-for-byte unchanged; this PR only adds the new JA field.9eda152
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