Instructions to use dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e 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, "dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e: direct link, hf CLI and curl.
- Browser
- Download file 70.7 MB
-
https://huggingface.co/dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e/resolve/738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e@738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e/resolve/738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/optimizer.pt
70.7 MB
- Xet hash:
- 8aa8a3f08c7586850efb729f0635754d6a5842b73a3d6b152be140813aca53d3
- Size of remote file:
- 70.7 MB
- SHA256:
- f0ebdf5f266083a24f8b372ea9bae2afcaaa7822c749a05e993ecb8e6c3ee544
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