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 adapter_model.bin from svphd/mm: direct link, hf CLI and curl.
- Browser
- Download file 522 MB
-
https://huggingface.co/svphd/mm/resolve/main/adapter_model.bin
- Command line
-
hf download hf://svphd/mm/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/svphd/mm/resolve/main/adapter_model.bin
522 MB
- Xet hash:
- 30741d9f7b5680b9dc41276020272fe8d5b46447112f5fa6e4c8cff289a5e172
- Size of remote file:
- 522 MB
- SHA256:
- f1e377bb05eb0e4fcd3b6789d54e2200d076026e21735898b26e59e0f0ad1139
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