Instructions to use goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7: direct link, hf CLI and curl.
- Browser
- Download file 2.97 kB
-
https://huggingface.co/goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/resolve/main/last-checkpoint/trainer_state.json
2.97 kB
Invalid JSON:Unexpected token 'N', ..."ad_norm": NaN,
"... is not valid JSON
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