Instructions to use mdrobs14/lora_num4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mdrobs14/lora_num4 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openlm-research/open_llama_7b") model = PeftModel.from_pretrained(base_model, "mdrobs14/lora_num4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mdrobs14/lora_num4: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/mdrobs14/lora_num4/resolve/main/training_args.bin
- Command line
-
hf download hf://mdrobs14/lora_num4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mdrobs14/lora_num4/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- be686c415c5098e92f7c0fc6c2c31b97667f178b7955bb8a1ff79ecb52192e23
- Size of remote file:
- 5.3 kB
- SHA256:
- f47c719f37b2e6cbfb854db9c76d80d530ffe888346499669087f0ac1d54e22d
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