Instructions to use DLCS/contract-clause-phi3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DLCS/contract-clause-phi3-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "DLCS/contract-clause-phi3-lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DLCS/contract-clause-phi3-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/DLCS/contract-clause-phi3-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://DLCS/contract-clause-phi3-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DLCS/contract-clause-phi3-lora/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 620c1ccf8ee6e09d4dca6c8333dd8a06cd661545d7b9470aac77c1ab4001e0ed
- Size of remote file:
- 5.78 kB
- SHA256:
- 271805533d78fca8c2ee3deef12061eb243ed2c27200c51f078f65864f0b6ded
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.