Instructions to use Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Paladiso/56e46106-55ee-42fc-b514-64b2448c7b69/resolve/main/last-checkpoint/trainer_state.json
2.99 kB
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