Instructions to use bilkultheek/ColdLLamaLite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bilkultheek/ColdLLamaLite 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/ColdLLamaLite") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1e9dd2b6c898a80eb84aaac73a6c457e8638249051eb5c76d1de5edf15420c5
- Size of remote file:
- 5.43 kB
- SHA256:
- 06bb71c4cf58b3819055ba46dca6356fde3846915bb241c90150c852afa68152
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