Instructions to use daniel40/247851d7-4271-499b-b3e6-f440cb254f99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/247851d7-4271-499b-b3e6-f440cb254f99 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "daniel40/247851d7-4271-499b-b3e6-f440cb254f99") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from daniel40/247851d7-4271-499b-b3e6-f440cb254f99: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
-
https://huggingface.co/daniel40/247851d7-4271-499b-b3e6-f440cb254f99/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://daniel40/247851d7-4271-499b-b3e6-f440cb254f99/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/daniel40/247851d7-4271-499b-b3e6-f440cb254f99/resolve/main/last-checkpoint/tokenizer.json
4.8 MB
File too large to display, you can check the raw version instead.