Instructions to use devlocalhost/tinyllama-min-primary-secondary-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devlocalhost/tinyllama-min-primary-secondary-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-Chat-v0.3") model = PeftModel.from_pretrained(base_model, "devlocalhost/tinyllama-min-primary-secondary-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 359887644fc6b175fbab5998379d4122143e38017eaafd559e8878d003e5043d
- Size of remote file:
- 4.98 kB
- SHA256:
- abcbcae35b9218ec2ce13de56575e9be26277612584f85c0956e7778b30698d2
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