Instructions to use guzus/jev-nyotti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use guzus/jev-nyotti with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "guzus/jev-nyotti") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from guzus/jev-nyotti: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/guzus/jev-nyotti/resolve/main/tokenizer.json
- Command line
-
hf download hf://guzus/jev-nyotti/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/guzus/jev-nyotti/resolve/main/tokenizer.json
20 MB
- Xet hash:
- bbfefaa4b8db655c848432b22ebc43988e50fe84eff7be3dd7db45bb7237ea8f
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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