Instructions to use Paladiso/1005f286-e100-45d2-a7b1-478c52161b87 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/1005f286-e100-45d2-a7b1-478c52161b87 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.6") model = PeftModel.from_pretrained(base_model, "Paladiso/1005f286-e100-45d2-a7b1-478c52161b87") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c63f96c2596864c372c90ad2fd8782aae4699078c388efb7ab9a677f901a7ca8
- Size of remote file:
- 25.3 MB
- SHA256:
- e175e59ac1505cf7c07004734f79beab7b3ee759045a20b76ad3d845044903e7
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