Instructions to use 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/vocab.json
- Command line
-
hf download hf://1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/vocab.json
-
curl -L -o vocab.json https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.