Instructions to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "willtensora/0df264fc-91a8-4d3e-995d-be371e003f92") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from willtensora/0df264fc-91a8-4d3e-995d-be371e003f92: direct link, hf CLI and curl.
- Browser
- Download file 3.23 kB
-
https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://willtensora/0df264fc-91a8-4d3e-995d-be371e003f92@5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/trainer_state.json
3.23 kB
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