Instructions to use mtzig/tinyllama-1.1b-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/tinyllama-1.1b-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "mtzig/tinyllama-1.1b-sft-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c014a8bdb8b1652cf4b795cc1041c481fcea9822ead0984dfff96cb8d1247298
- Size of remote file:
- 5.71 kB
- SHA256:
- bb2ee265ee5cf93495055060630e51285cfa78e7806b3e6ee0032eae18868177
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