Instructions to use alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f: direct link, hf CLI and curl.
- Browser
- Download file 36.3 kB
-
https://huggingface.co/alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/alchemist69/4af9ed1e-bd3a-483b-889b-badf5ae1616f/resolve/main/last-checkpoint/trainer_state.json
36.3 kB
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