Instructions to use krzysztofwos/LFM2-2.6B-CodeAgent-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krzysztofwos/LFM2-2.6B-CodeAgent-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2-2.6B-Exp") model = PeftModel.from_pretrained(base_model, "krzysztofwos/LFM2-2.6B-CodeAgent-LoRA") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from krzysztofwos/LFM2-2.6B-CodeAgent-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 49 MB
-
https://huggingface.co/krzysztofwos/LFM2-2.6B-CodeAgent-LoRA/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://krzysztofwos/LFM2-2.6B-CodeAgent-LoRA/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/krzysztofwos/LFM2-2.6B-CodeAgent-LoRA/resolve/main/adapter_model.safetensors
49 MB
- Xet hash:
- 77375b802434f1b6796c02d226ac7e711c9b93a1ed0e3ed1d504241e655b8af6
- Size of remote file:
- 49 MB
- SHA256:
- 7f79284d36fdb5aaa47d161de6272f18a3ee00745098d43fb60e5faf56321977
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