Instructions to use ldp2211479/server_model_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ldp2211479/server_model_checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./model/Meta-Llama-3-8B-hf") model = PeftModel.from_pretrained(base_model, "ldp2211479/server_model_checkpoint") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24a3048ca17a8bdf3f7787875f1a547dbb1b8b460babd2b4d5ac388aa853dcd7
- Size of remote file:
- 4.6 kB
- SHA256:
- efb25d1bcd1849575417ef855741dc41f8cfe316385745c12d2b15c2f2094897
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