Instructions to use mohammadmahdinouri/final_expressive_student_init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/final_expressive_student_init with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FlowModelForDistillation tokenizer = AutoTokenizer.from_pretrained("mohammadmahdinouri/final_expressive_student_init") model = FlowModelForDistillation.from_pretrained("mohammadmahdinouri/final_expressive_student_init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
51bb0af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1608b90876103c6c3c67ca079ab9d3c5ee4e7707acf869103e728a4d30626643
size 514364
|