Instructions to use gotzmann/1JV45FSDP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1JV45FSDP 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/1JV45FSDP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33abd3c73a12d746e7ca83cd951e62409a34509ae027375ecf0f3b6550dfb6ad
- Size of remote file:
- 1.34 GB
- SHA256:
- 188474e44ea0cfd689663ec8cd78f28da59d9e61b9ec38e99fc36f89733f6ffd
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