Instructions to use tmd-rahul/tinyllama_qlora_correct_data_v1 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_v1 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_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a85490a1547b36c75acbe2162b9f256e84fc6bb226f439c93e408b6a12353eec
- Size of remote file:
- 5.37 kB
- SHA256:
- 7418ebdccbc9ce949ece3b71e16108e8576a612681ee1a89d4c9871f714b240a
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