Instructions to use ravan18/AdviceModel-Qwen3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravan18/AdviceModel-Qwen3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "ravan18/AdviceModel-Qwen3") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ravan18/AdviceModel-Qwen3: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ravan18/AdviceModel-Qwen3/resolve/main/tokenizer.json
- Command line
-
hf download hf://ravan18/AdviceModel-Qwen3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ravan18/AdviceModel-Qwen3/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 565b5ff7e175a9def699fbfa0cb96bac41bda814274baad5f3dfd9f29f9595c2
- Size of remote file:
- 11.4 MB
- SHA256:
- 0a018134fd4ea264da6ed1c1b00e4b36533af34a96780e2333ed9f6779a215f7
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