Instructions to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/adapter_model.bin
- Command line
-
hf download hf://sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- 3abb4cc4ee7bd284b3b35e604cff2a0cc3142e6a5c9f0d486908d362db2efda3
- Size of remote file:
- 141 MB
- SHA256:
- 8240b5fa17825479f297179828505e2d92372a7fdd0241f558884d38358e1bf9
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