Instructions to use gotzmann/1SV71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1SV71 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/1SV71") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db48e751488c66909571cbcda9f882bad2b01329b4470d72a6b2930f0c92b885
- Size of remote file:
- 5.37 kB
- SHA256:
- a8997cfa89c9c02a07917d1f38b9484502cfa51bad9548ee805f48e8f521d041
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