Instructions to use MRNH/llama-2-13b-GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRNH/llama-2-13b-GEC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "MRNH/llama-2-13b-GEC") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from MRNH/llama-2-13b-GEC: direct link, hf CLI and curl.
- Browser
- Download file 210 MB
-
https://huggingface.co/MRNH/llama-2-13b-GEC/resolve/main/adapter_model.bin
- Command line
-
hf download hf://MRNH/llama-2-13b-GEC/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/MRNH/llama-2-13b-GEC/resolve/main/adapter_model.bin
210 MB
- Xet hash:
- 31eba92fff28f3c91d27c34135e6e6d6109ff15d7fc8034f42d7d623910d9a03
- Size of remote file:
- 210 MB
- SHA256:
- a704958e965bdeff58338d7b246eec784273e961a27037f5cc9c4f22d9368c1e
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