Instructions to use Tiger14n/Mapperatorinator2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiger14n/Mapperatorinator2 with Transformers:
# Load model directly from transformers import Mapperatorinator model = Mapperatorinator.from_pretrained("Tiger14n/Mapperatorinator2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b64801c446a5f295f9cf1a9233a1f4c3f221a0226e1cf296291e3c1a0b4e2de4
- Size of remote file:
- 861 MB
- SHA256:
- 28c56449d9bb23afdd2b0a16743ce27dd37aabc5b1a846c78efa63485454fc97
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