Instructions to use enseven/lfm-2.5-think-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use enseven/lfm-2.5-think-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Thinking") model = PeftModel.from_pretrained(base_model, "enseven/lfm-2.5-think-code") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from enseven/lfm-2.5-think-code: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/enseven/lfm-2.5-think-code/resolve/main/training_args.bin
- Command line
-
hf download hf://enseven/lfm-2.5-think-code/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/enseven/lfm-2.5-think-code/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 10b6502a87169519d28dabf28b00beeb09d36398bc5544435085cccbb4a6ec59
- Size of remote file:
- 5.84 kB
- SHA256:
- 06dc8a62efd1d9c723956615b41c7dcee7c7ac98f02c0c894936b33b95d63ecf
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