Instructions to use makyash/rtl_diff_param with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use makyash/rtl_diff_param with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "makyash/rtl_diff_param") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from makyash/rtl_diff_param: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/makyash/rtl_diff_param/resolve/d6a02786a0e58f78054dca71c6c6cb8e9e045fa8/tokenizer.json
- Command line
-
hf download hf://makyash/rtl_diff_param@d6a02786a0e58f78054dca71c6c6cb8e9e045fa8/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/makyash/rtl_diff_param/resolve/d6a02786a0e58f78054dca71c6c6cb8e9e045fa8/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.