Instructions to use alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a: direct link, hf CLI and curl.
- Browser
- Download file 139 MB
-
https://huggingface.co/alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/resolve/main/adapter_model.safetensors
139 MB
- Xet hash:
- 26ef459d4916ca6b7d9a5c2b36efeb042c4d9758f4cfa233140460e9949440e2
- Size of remote file:
- 139 MB
- SHA256:
- 6555b2faa6bb7a34a2c6b23bba8288f891c35227975fdac14a7b89fd7288847f
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