Instructions to use Rodr16020/llama-2-13b-chat-gns3-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodr16020/llama-2-13b-chat-gns3-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/ralvarez22/Documentos/llm_data/llm_cache/models--meta-llama--Llama-2-13b-chat-hf/snapshots/c2f3ec81aac798ae26dcc57799a994dfbf521496") model = PeftModel.from_pretrained(base_model, "Rodr16020/llama-2-13b-chat-gns3-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15ef74aedfbab1bd9aef8cc13453fb7e1435b549e46ac3bb29ad5b8272852ff0
- Size of remote file:
- 1.02 GB
- SHA256:
- 1b6e6591e069473ac67b1f2ca07af6a6df49e0d1fa55ae5cf7038701508ef236
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