Instructions to use tarek199147/lfm25-nwpu-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarek199147/lfm25-nwpu-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-VL-450M") model = PeftModel.from_pretrained(base_model, "tarek199147/lfm25-nwpu-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50811f9c98d1c9a29ac4750e0c9d2ef78c579d4184a67eb5aa2ba3af67962690
- Size of remote file:
- 2.77 MB
- SHA256:
- fab5232bc5ca3e03815791fa9052aa17ab98b9e5b5e625d006a4b0320c70e4b0
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