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:
- 3ad69543cd4f09794230c57b9d53453c30a044c80c142c61c86163daab0d2bd7
- Size of remote file:
- 202 MB
- SHA256:
- 2df365b52a6b4fff4c6eeef284864bc046d2557d38e14b839a1921da99990de3
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