Instructions to use ritesh431/tech_doc_release_notes_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ritesh431/tech_doc_release_notes_lora 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, "ritesh431/tech_doc_release_notes_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24a1ec96da13d36b88fa059128d86607fbfb1274debc2d3d6fab5e20ea87454a
- Size of remote file:
- 36.7 MB
- SHA256:
- 87135609b64c7d84058fd48e59d1139550376ffdc6a710360aaf5a181b8a7229
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