Instructions to use raulgdp/Llama-3.2-3B-Instruct-JEP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use raulgdp/Llama-3.2-3B-Instruct-JEP 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, "raulgdp/Llama-3.2-3B-Instruct-JEP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fc151825d96d31e2411fe44255a39c0aa22b86101de9833396a9df91c19ca0d
- Size of remote file:
- 18.4 MB
- SHA256:
- 186504f91edf5de0a0d20784df7844b734544bbd5a0b8f43beee2e2c9e84a520
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