Instructions to use tmd-rahul/tinyllama_qlora_correct_data_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tmd-rahul/tinyllama_qlora_correct_data_v3 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, "tmd-rahul/tinyllama_qlora_correct_data_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d7b264cdd1c73aa97ad7e2ec64de9686348ba41ec8a9d3a7666261bf3f3b6e9
- Size of remote file:
- 5.3 kB
- SHA256:
- 2b6ac641b5a909460f3aee0e0c550cd4adcbf257fd07cb701912cb5b360d83c5
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