Instructions to use rayonlabs/TinyLLama-v0-commonsense_170k-bb8e4082-d946-444b-b70b-4bd3c25926dc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rayonlabs/TinyLLama-v0-commonsense_170k-bb8e4082-d946-444b-b70b-4bd3c25926dc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "rayonlabs/TinyLLama-v0-commonsense_170k-bb8e4082-d946-444b-b70b-4bd3c25926dc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 765e0e39b16a77f2932b9100d7a6e169e74e86183274d3c599354c7152370652
- Size of remote file:
- 534 kB
- SHA256:
- ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
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