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:
- 829d88f108efbe76e08ae84043831719ca50d32b9c7b3d29de94bcdb3bb1ba6f
- Size of remote file:
- 5.3 kB
- SHA256:
- 29adcb30de216168098d3d57bc17bd3d7a21e77992de8c0bb58c2c11baeb932c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.