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 last-checkpoint/optimizer.pt from enseven/lfm-2.5-think-code: direct link, hf CLI and curl.
- Browser
- Download file 178 MB
-
https://huggingface.co/enseven/lfm-2.5-think-code/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://enseven/lfm-2.5-think-code/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/enseven/lfm-2.5-think-code/resolve/main/last-checkpoint/optimizer.pt
178 MB
- Xet hash:
- 41cde4dc4517fde1a73a881c5046579a631bac345ddeb03adfed26c41b56df39
- Size of remote file:
- 178 MB
- SHA256:
- ca1ac60d2a733c3f6db08f04b7d8d4f6547bd586f287c155721433e984edc7db
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