Instructions to use strumber/Llama2letsmod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use strumber/Llama2letsmod with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "strumber/Llama2letsmod") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-200/adapter_model.bin from strumber/Llama2letsmod: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-200/adapter_model.bin
- Command line
-
hf download hf://strumber/Llama2letsmod/checkpoint-200/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-200/adapter_model.bin
134 MB
- Xet hash:
- a94c4b1827b3a6fdfe696c22c162748ba08b9c3ecffc712b4d0b4350e792675e
- Size of remote file:
- 134 MB
- SHA256:
- 53a6becbd84712ba774cde01e42865164f79736af7e3bad382206c925fe45c29
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