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:
- 6934f4668878155137811e1a8fc92bd86b94e8004413db3d4a502408f44fc89c
- Size of remote file:
- 4.6 kB
- SHA256:
- 4222fdda011882694e381469f5aa6f44e0bf8795b4c9520740f8a560a40bdbaa
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