Instructions to use surrey-nlp/Et-En_Mono-AG-Llama-2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surrey-nlp/Et-En_Mono-AG-Llama-2-13b 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, "surrey-nlp/Et-En_Mono-AG-Llama-2-13b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3362e9cca452d20b53738a90e09a6eb0ce46ee3df25c8ddf386fd614b01e2e2e
- Size of remote file:
- 172 MB
- SHA256:
- 9ed528ca90959198d8030fb78bb50851455042e60f6e12512e486c3ba745669f
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