Instructions to use prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a 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, "prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a: direct link, hf CLI and curl.
- Browser
- Download file 36.5 kB
-
https://huggingface.co/prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/resolve/main/last-checkpoint/trainer_state.json
36.5 kB
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