Instructions to use svphd/mm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use svphd/mm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mmm") model = PeftModel.from_pretrained(base_model, "svphd/mm") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from svphd/mm: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/svphd/mm/resolve/main/training_args.bin
- Command line
-
hf download hf://svphd/mm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/svphd/mm/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- 4f87ceb9791f25d1c7245c8c1c445e2a8b87114f8d73e128422d7ace5ec877af
- Size of remote file:
- 3.9 kB
- SHA256:
- 68435734bf2b526b859f5547dd001d00d311f67f5f4751c7fde36228895b84ae
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