Instructions to use Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2/resolve/main/tokenizer.json
- Command line
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hf download hf://Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Rodr16020/GNS3_Python_Code_Llama-2-Chat-LoRA-Seele-v_2/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.