Instructions to use alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/763324f1-25bf-490f-85eb-1fcc57bb7f98/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- c7d070b409a7871f9e532e22c72e84fe8ca4951d4e631d46b2f187e698cfc88a
- Size of remote file:
- 6.84 kB
- SHA256:
- c36985cf99284854cda284d890e490fa21d4ae1035ab8045f7486d2f44fbe6f8
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