Instructions to use BoburAmirov/test-llama-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BoburAmirov/test-llama-uz with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "BoburAmirov/test-llama-uz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce51a4e9634b7644f4ec8fd9f47ce09690de8eb02b0916292fe0f7f2b51c094a
- Size of remote file:
- 269 MB
- SHA256:
- cbfcfd1dc6ea07b5fc22accb2456b490bb4a922d89a6214fbbfc09ed614688b4
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