Instructions to use gotzmann/1OV84 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV84 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/1OV84") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6249/optimizer.bin from gotzmann/1OV84: direct link, hf CLI and curl.
- Browser
- Download file 2.01 GB
-
https://huggingface.co/gotzmann/1OV84/resolve/main/checkpoint-6249/optimizer.bin
- Command line
-
hf download hf://gotzmann/1OV84/checkpoint-6249/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gotzmann/1OV84/resolve/main/checkpoint-6249/optimizer.bin
2.01 GB
- Xet hash:
- 30c7d1591815991b09a8fd8498e335bd30d3c9bdab23760d3fb48607c1165de2
- Size of remote file:
- 2.01 GB
- SHA256:
- 7d0ec0822f101b04559bcca93af3e3aef684b0f0a76344839844e2df2e2753bb
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