Instructions to use Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aisingapore/Llama-SEA-LION-v3.5-8B-R") model = PeftModel.from_pretrained(base_model, "Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values/resolve/main/training_args.bin
- Command line
-
hf download hf://Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Incomple/Llama-SEA-LION-v3.5-8B-R_sft_sg_values/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- 9ec6ebde55fb295d1f249bbe006826dba4b54c86b172233ce75331bfee555a5b
- Size of remote file:
- 5.75 kB
- SHA256:
- 2dc545111443f5c024ae900eac0a0d9e11934186523f8ffc41ad27582239e398
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