Instructions to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b: direct link, hf CLI and curl.
- Browser
- Download file 10.3 kB
-
https://huggingface.co/prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b/resolve/983e565a7091fb3dbb3f15bb2200d01de43ec9ec/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b@983e565a7091fb3dbb3f15bb2200d01de43ec9ec/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b/resolve/983e565a7091fb3dbb3f15bb2200d01de43ec9ec/last-checkpoint/trainer_state.json
10.3 kB
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