Instructions to use gotzmann/1SV64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1SV64 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/1SV64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 909694aa90dbb5c5335a3346a80e23380a07fba660f4ea2d98be354d8bca81e4
- Size of remote file:
- 5.37 kB
- SHA256:
- a72d77bd55f50f2af96ad8b8caeaf4991858511b04c33b8d8af2a77b0f3ae119
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