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 last-checkpoint/optimizer.pt from 0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06: direct link, hf CLI and curl.
- Browser
- Download file 71.9 MB
-
https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/45caefdc811c454c6e0beeadfd74830d414851e4/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06@45caefdc811c454c6e0beeadfd74830d414851e4/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/0x1202/0d2af381-0841-4bdd-a2b2-94eec5e44d06/resolve/45caefdc811c454c6e0beeadfd74830d414851e4/last-checkpoint/optimizer.pt
71.9 MB
- Xet hash:
- 620fba83300a612ebfda8016e2d3820b8b025a4b03a9b60163acf347be6849a5
- Size of remote file:
- 71.9 MB
- SHA256:
- dc53754a9461b84c6a3f1b79bf69b6992d00e1e52b992f41ce94be8b829b3bcf
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