Instructions to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca/resolve/ca622afeb8b2be93a4738c4fe082bd465973f8b1/vocab.json
- Command line
-
hf download hf://1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca@ca622afeb8b2be93a4738c4fe082bd465973f8b1/vocab.json
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curl -L -o vocab.json https://huggingface.co/1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca/resolve/ca622afeb8b2be93a4738c4fe082bd465973f8b1/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.