Instructions to use burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75: direct link, hf CLI and curl.
- Browser
- Download file 44.5 MB
-
https://huggingface.co/burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75/resolve/main/adapter_model.safetensors
44.5 MB
- Xet hash:
- 11793bfb50e5001e2f8f1dfeb0eb90bd53eb3a5a360bb0d9a41c9d81029781e1
- Size of remote file:
- 44.5 MB
- SHA256:
- 18156819db9d8f2ce1c29a393850ad826a08b7aac27479677dc2a3137b2956de
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