Instructions to use alemiaschi/LLaMA-2-13b-chat_CounterSpeech_MuRe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alemiaschi/LLaMA-2-13b-chat_CounterSpeech_MuRe 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, "alemiaschi/LLaMA-2-13b-chat_CounterSpeech_MuRe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c466e4751f332082e3a30b38bf361c34b06b4a161171510d4a5267b699e18db9
- Size of remote file:
- 105 MB
- SHA256:
- c966f700402ee00da69d7abb3b0341c79e2337eec29148b99daf5b2568a1b434
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