Instructions to use TOTORONG/nemo_49b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TOTORONG/nemo_49b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3_3-Nemotron-Super-49B-v1") model = PeftModel.from_pretrained(base_model, "TOTORONG/nemo_49b_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c460964606dd0efa5df3119effdb8260d54326b6c59c0d435ea5ac338362833d
- Size of remote file:
- 1.22 GB
- SHA256:
- 1314d619d0ae1077ceb1ee4c85185c4f27d2e852a32aca9e51d9c483bbfa4f4f
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