Instructions to use kevinautomation/tiny_llama_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kevinautomation/tiny_llama_instruct_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "kevinautomation/tiny_llama_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c914d49e7108431da60b23e637d25a1381d07ea1609553e4c3c42e5fbec45f0
- Size of remote file:
- 4.73 kB
- SHA256:
- 56e75aeffbf795705938909ee8122e7f4ea800144be324a8c5dcd645223b1603
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