Text Generation
PEFT
Safetensors
lora
qwen3
qwen3-8b
evidence-path-generation
knowledge-graph
abstractive-summarization
explainable-ai
unsloth
conversational
Instructions to use nirasha/KGFactExplainer-Qwen3-8B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nirasha/KGFactExplainer-Qwen3-8B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-8b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "nirasha/KGFactExplainer-Qwen3-8B-LoRA") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download optimizer.pt from nirasha/KGFactExplainer-Qwen3-8B-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 90.6 MB
-
https://huggingface.co/nirasha/KGFactExplainer-Qwen3-8B-LoRA/resolve/main/optimizer.pt
- Command line
-
hf download hf://nirasha/KGFactExplainer-Qwen3-8B-LoRA/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/nirasha/KGFactExplainer-Qwen3-8B-LoRA/resolve/main/optimizer.pt
90.6 MB
- Xet hash:
- c9ad4df55b113b156aae81512292f3f20c234bec6e67e83257a969ba4bb60c8b
- Size of remote file:
- 90.6 MB
- SHA256:
- 00e8248427c51bfc2a3a1e8890f5fce78d3b5268f268a57cc389d56cb98a5fb1
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