Instructions to use gotzmann/1JV44C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1JV44C with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1JV44C") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-3000/optimizer.pt from gotzmann/1JV44C: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/gotzmann/1JV44C/resolve/main/checkpoint-3000/optimizer.pt
- Command line
-
hf download hf://gotzmann/1JV44C/checkpoint-3000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/gotzmann/1JV44C/resolve/main/checkpoint-3000/optimizer.pt
1.34 GB
- Xet hash:
- 388e6138625e0106b42fe777eff219eccec73a1d568975072bd59979d027aa2d
- Size of remote file:
- 1.34 GB
- SHA256:
- 6f0d82e2d0a0798f7d4f14178a93c7d56aac5814ff573323ebe96d7dbe3432a0
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