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-700/optimizer.pt from strumber/Llama2letsmod: direct link, hf CLI and curl.
- Browser
- Download file 269 MB
-
https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-700/optimizer.pt
- Command line
-
hf download hf://strumber/Llama2letsmod/checkpoint-700/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-700/optimizer.pt
269 MB
- Xet hash:
- 14ab188d31bde734dfcf3c530680c3a6a653e5ffde48ad0fc5a7be3c8dcaed5a
- Size of remote file:
- 269 MB
- SHA256:
- 87a2fcaa1b8198c10b1fbcad5d73b06f7d34402e7aedbf34b7460a1350a28967
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