Instructions to use bilkultheek/YaHaHamaraLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bilkultheek/YaHaHamaraLlama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ahxt/LiteLlama-460M-1T") model = PeftModel.from_pretrained(base_model, "bilkultheek/YaHaHamaraLlama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcacfd524d03c9eb1cb49a3b15574e69807dc8abd2894cb9281a675374cf06a3
- Size of remote file:
- 5.43 kB
- SHA256:
- 8d4b657ec66cb9698ba6f4bfb8dfdca966a93c2f6574c2d7b7c148d2ae8d40cb
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