Instructions to use ramixpe/llama2_finetuned_chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ramixpe/llama2_finetuned_chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "ramixpe/llama2_finetuned_chatbot") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ramixpe/llama2_finetuned_chatbot: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ramixpe/llama2_finetuned_chatbot/resolve/main/training_args.bin
- Command line
-
hf download hf://ramixpe/llama2_finetuned_chatbot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ramixpe/llama2_finetuned_chatbot/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 0f5b2543cd1810b8c9af39b2e4756905c7cff7d0a4244ee61ed9b461edf63cd1
- Size of remote file:
- 4.92 kB
- SHA256:
- 6e7c367234b85566933dfd5ebdab4752b590ca47c3358d9668efc33ffe47ebf1
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