Instructions to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214: direct link, hf CLI and curl.
- Browser
- Download file 513 kB
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https://huggingface.co/error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214/resolve/main/last-checkpoint/trainer_state.json
- Command line
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hf download hf://error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214/last-checkpoint/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214/resolve/main/last-checkpoint/trainer_state.json
513 kB
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