Instructions to use junheesong/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junheesong/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "junheesong/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c9eefd504d2cbb58d9fc34874c8e629259b86580f90b636288ff155ff58c09a
- Size of remote file:
- 4.66 kB
- SHA256:
- 161fc9e0e3d4d16e08ddd1c0d6aaf1e1d83c83d6341432b1d6ba6286931495dc
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