Instructions to use surrey-nlp/IFT-GEMBA-multilingual-Llama-3.2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surrey-nlp/IFT-GEMBA-multilingual-Llama-3.2-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "surrey-nlp/IFT-GEMBA-multilingual-Llama-3.2-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd3fa47b75ca101097c2db5250d21267e0516867849bf4f4532f7e19ae21d8ce
- Size of remote file:
- 73.4 MB
- SHA256:
- 0dbe4a33d696836a63ac8bc4851944018019855a7f430b8b5396c1834997a1d7
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