Instructions to use WangXFng/Instruments-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WangXFng/Instruments-1B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "WangXFng/Instruments-1B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ff00c044b1545e9c2ab884dd79db6848a4e5766eb5fbe3de2dec39652856cfc
- Size of remote file:
- 5.24 kB
- SHA256:
- 37060c46874a7281744ce6e4a73c75ab26f52036c0376a488d3598e1446fba39
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