Instructions to use TinyPixel/tinyllama-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/tinyllama-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T") model = PeftModel.from_pretrained(base_model, "TinyPixel/tinyllama-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aa0292dc402773710e3e421ccf3c5f86505b611c1e0f8e580cc55331f7299fb
- Size of remote file:
- 404 MB
- SHA256:
- b0b99eb6b8504c00207197fb2b1850447f75e73bd654c22c05eb09e171a102fb
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