Instructions to use alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a 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, "alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/6792f53d-9b67-4e1f-8ebf-f6c2e06a827a/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- cb87fdaac7b47d54cc92cc66663f8e080ea7d91be1cf8b1f75bbc724e0f08dfc
- Size of remote file:
- 6.84 kB
- SHA256:
- 62cec49c9be16ed50ee78d49fa1f991ab0c0c64a94f8496c59af92af29b37de3
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