Instructions to use gotzmann/1SV48FULL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1SV48FULL 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/1SV48FULL") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6000/optimizer.bin from gotzmann/1SV48FULL: direct link, hf CLI and curl.
- Browser
- Download file 2.68 GB
-
https://huggingface.co/gotzmann/1SV48FULL/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://gotzmann/1SV48FULL/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gotzmann/1SV48FULL/resolve/main/checkpoint-6000/optimizer.bin
2.68 GB
- Xet hash:
- 07d13e7b69b4a9e5bd5dfa65dde69cf8c0f30edfd892303a4493612f9ff7d398
- Size of remote file:
- 2.68 GB
- SHA256:
- 63b68b05a23b2c49c209b202f9915260bc9d57356b17bf51845c47dc70b486af
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