Instructions to use eeeebbb2/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "eeeebbb2/7cdedd27-7429-4fa5-8216-572f3edb7ed7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9083f231f113fe72d973070f8c55a57aa2cfb9b33e5eb259135bcc510cea338b
- Size of remote file:
- 1.52 MB
- SHA256:
- e30f74ebef311e2b67f2961d060b91b587e30b79cb4cc489a9cee4406796d293
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