Instructions to use kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905: direct link, hf CLI and curl.
- Browser
- Download file 2.96 kB
-
https://huggingface.co/kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/kk-aivio/2e7d4628-1423-4d89-ad58-d4243e7b7905/resolve/main/last-checkpoint/trainer_state.json
2.96 kB
Invalid JSON:Unexpected token 'N', ..."ad_norm": NaN,
"... is not valid JSON
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