Instructions to use 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/main/adapter_model.safetensors
141 MB
- Xet hash:
- ef9f476cf5184e72ad5da02c8628157578ea2dc35b81d18dcdec8f52e213a330
- Size of remote file:
- 141 MB
- SHA256:
- 9998cf949893339af1a8b2d18b3fbef1f69b7970a5fdd501f425ed62785df3f2
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