Instructions to use mohammadmahdinouri/interleaved-base-student-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/interleaved-base-student-init with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FlowModelForDistillation tokenizer = AutoTokenizer.from_pretrained("mohammadmahdinouri/interleaved-base-student-init") model = FlowModelForDistillation.from_pretrained("mohammadmahdinouri/interleaved-base-student-init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from mohammadmahdinouri/interleaved-base-student-init: direct link, hf CLI and curl.
- Browser
- Download file 509 kB
-
https://huggingface.co/mohammadmahdinouri/interleaved-base-student-init/resolve/main/tokenizer.model
- Command line
-
hf download hf://mohammadmahdinouri/interleaved-base-student-init/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/mohammadmahdinouri/interleaved-base-student-init/resolve/main/tokenizer.model
509 kB
- Xet hash:
- 31aa607225ad17973c8cc4cfa749ce51f0595be25db8b9ebe52388101fe4982f
- Size of remote file:
- 509 kB
- SHA256:
- 0e0f741d0605911d0793969b84ac89cebb00e3b7b1a575713e40079410df1ff9
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