Instructions to use iamatif2003/Rubz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamatif2003/Rubz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iamatif2003/Rubz")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamatif2003/Rubz") model = AutoModel.from_pretrained("iamatif2003/Rubz") - Notebooks
- Google Colab
- Kaggle
Rename desi_3723I_Flux_000002200.safetensors to desi_rubzx_3723I_Flux_000002200.safetensors
Browse files
desi_3723I_Flux_000002200.safetensors → desi_rubzx_3723I_Flux_000002200.safetensors
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