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")# 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
Add Japanese (JA) card names
#2
by AmineTorki - opened
Adds a JA field to every card entry, alongside the existing EN/FR/DE/IT/PT, so --language JA works out of the box.
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.
Source: YGOJSON (github.com/iconmaster5326/YGOJSON, MIT licensed).
Every existing EN/FR/DE/IT/PT should stay unchanged : this PR only adds the new JA field.
HichTala changed pull request status to merged
Thanks for the PR!