Instructions to use prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prxy5606/428d8350-0465-4f57-8937-b6feffa2b6cf/resolve/main/last-checkpoint/optimizer.pt
341 MB
- Xet hash:
- 2a013465eff6526281272c9e49b687858482822955717829fa234ad79802f923
- Size of remote file:
- 341 MB
- SHA256:
- aeb54c283a4177778feac8130ab4ad69820049b409873903a924d51fca322976
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