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-500/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-500/adapter_model.bin
- Command line
-
hf download hf://strumber/Llama2letsmod/checkpoint-500/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-500/adapter_model.bin
134 MB
- Xet hash:
- b3b98261e16b7eb2179cec001e16f2360764982a1fc951ccbf3f394c8443e244
- Size of remote file:
- 134 MB
- SHA256:
- 39242d58eaf616061effd479198dd8ab1f1fbba8f3df29492f3251a61018515f
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