Instructions to use WangXFng/Instruments-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WangXFng/Instruments-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "WangXFng/Instruments-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f6ba0f5a17e8918f362d5648f30b64c00db9641389fd9787d7f858a33e480a3
- Size of remote file:
- 5.24 kB
- SHA256:
- 00bee88cfff70ceb036e8da2a203c831e95fa4809539bbcfa0257eb67b695712
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