Instructions to use JosephLee/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JosephLee/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "JosephLee/results") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JosephLee/results: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/JosephLee/results/resolve/main/tokenizer.json
- Command line
-
hf download hf://JosephLee/results/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JosephLee/results/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 4f05109ae9e83198569117e3e147d47f3333ef62bcc848b69f086ff05502e48a
- Size of remote file:
- 17.2 MB
- SHA256:
- 5594fa253de7e44c683e359d7a75af492af4c70e5374ed6f8cb698b023aace97
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