Instructions to use gotzmann/1OV80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV80 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/1OV80") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6228/optimizer.bin from gotzmann/1OV80: direct link, hf CLI and curl.
- Browser
- Download file 4.89 GB
-
https://huggingface.co/gotzmann/1OV80/resolve/main/checkpoint-6228/optimizer.bin
- Command line
-
hf download hf://gotzmann/1OV80/checkpoint-6228/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gotzmann/1OV80/resolve/main/checkpoint-6228/optimizer.bin
4.89 GB
- Xet hash:
- cb99e2ae4153f01fba4d6f3959a0cd554ffedf61f92a07054321316485afe1b6
- Size of remote file:
- 4.89 GB
- SHA256:
- 7c7bfa1047c852f5709ecc4bb721e92c2821f7a1cb375b5549abde26c741ab02
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