Instructions to use hasanat/ReviewAdapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasanat/ReviewAdapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "hasanat/ReviewAdapter") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hasanat/ReviewAdapter: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/hasanat/ReviewAdapter/resolve/main/training_args.bin
- Command line
-
hf download hf://hasanat/ReviewAdapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hasanat/ReviewAdapter/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 49f11a9da90dded27d0d82365eefa45b1daf6b4a0ea7a91b4e97910aacf594e8
- Size of remote file:
- 5.24 kB
- SHA256:
- c7b5de856f592d72034f11176982cd5a09e09fcd05eaae1d8384437e44fd9f1c
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