Instructions to use panxinyang/Qwen-Qwen1.5-1.8B-1718647220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use panxinyang/Qwen-Qwen1.5-1.8B-1718647220 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-1.8B") model = PeftModel.from_pretrained(base_model, "panxinyang/Qwen-Qwen1.5-1.8B-1718647220") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da9073d5acb18ad404d2ac6124ddb97ea128e737d474a4df0f2bab7870e720eb
- Size of remote file:
- 5.3 kB
- SHA256:
- 8bb46349a8b1d8c0b200776a5aa11ff44205c6d9ce0f3dcff76a98276ce4d1e8
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