Instructions to use domsoos/kgain-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use domsoos/kgain-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "domsoos/kgain-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from domsoos/kgain-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/domsoos/kgain-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://domsoos/kgain-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/domsoos/kgain-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 0448307de52b767e89b211ae9538ecf7e13d71ae4069712283bde6bfad3e02fb
- Size of remote file:
- 11.4 MB
- SHA256:
- 85acc0ed1a93f8b0e6c803b53edf0fe4898ac19a3fff657f21020d280364a0cf
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