Image-Text-to-Text
PEFT
Safetensors
lora
egocentric-video
proactive-assistant
streaming-video
eccv-2026
wearable-ai
egocentric-vision
conversational
Instructions to use ambient-intelligence-labs/egoproactive-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ambient-intelligence-labs/egoproactive-4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "ambient-intelligence-labs/egoproactive-4b-lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ambient-intelligence-labs/egoproactive-4b-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/ambient-intelligence-labs/egoproactive-4b-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://ambient-intelligence-labs/egoproactive-4b-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ambient-intelligence-labs/egoproactive-4b-lora/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 85ab5a28becde45a56d0e810d1d09783ee5af5e442ff22444f8069a7a48d7a79
- Size of remote file:
- 5.84 kB
- SHA256:
- c7873bf67153d910084508b8f76da906480f362512a0645173baf22497981402
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