Instructions to use tmd-rahul/tinyllama_qlora_correct_data_v4 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_v4 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_v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f10426d07a123b697114976df9580d3aa4b708d645f64cd8d64692702c004805
- Size of remote file:
- 5.3 kB
- SHA256:
- bd7a4808f1baaf2bde933e78f29277c5c4374721b697420ed63336246646294e
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