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:
- 58254353394cc5e86a94b30f236af0b74b7da48c412bad3c2c57c6962e69535b
- Size of remote file:
- 1.34 GB
- SHA256:
- cf990f3941103349bbf4e2799795fa9283758c0c09c76892fe395d7b2fa6e7e7
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