Text Generation
PEFT
Safetensors
English
French
electronics
embedded-systems
iot
lora
sft
ailiance-tuning
conversational
Instructions to use clemsail/ailiance-iot-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use clemsail/ailiance-iot-sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "clemsail/ailiance-iot-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83a184804790f5f45e8e717cf73f02706f28596173f719f8dfdb3f7f8ad05656
- Size of remote file:
- 87.4 MB
- SHA256:
- 0f8ff24efb5ff4b3ede7529dfeb5823a0126dc4433a4d1900050e3ff83cb60bf
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