Instructions to use zzunyang/law_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zzunyang/law_sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/open-llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "zzunyang/law_sft") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from zzunyang/law_sft: direct link, hf CLI and curl.
- Browser
- Download file 780 kB
-
https://huggingface.co/zzunyang/law_sft/resolve/main/tokenizer.model
- Command line
-
hf download hf://zzunyang/law_sft/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/zzunyang/law_sft/resolve/main/tokenizer.model
780 kB
- Xet hash:
- 078e6c5168dae4641355fef7770264b8db724c6ca56633edf93063987b727024
- Size of remote file:
- 780 kB
- SHA256:
- 7e56904744ef55ee9f6fc9348e26df0658594250c32308ed65984d8f253b8a09
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