Image-Text-to-Text
PEFT
Safetensors
lora
egocentric-video
proactive-assistant
streaming-video
eccv-2026
wearable-ai
video-qa
conversational
Instructions to use ambient-intelligence-labs/egoproactive-2b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ambient-intelligence-labs/egoproactive-2b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "ambient-intelligence-labs/egoproactive-2b-lora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4200/training_args.bin from ambient-intelligence-labs/egoproactive-2b-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/ambient-intelligence-labs/egoproactive-2b-lora/resolve/main/checkpoint-4200/training_args.bin
- Command line
-
hf download hf://ambient-intelligence-labs/egoproactive-2b-lora/checkpoint-4200/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ambient-intelligence-labs/egoproactive-2b-lora/resolve/main/checkpoint-4200/training_args.bin
5.78 kB
- Xet hash:
- 980ccc034457efbded830299273c5b2a20c5876e89fde721b131732e13eb7097
- Size of remote file:
- 5.78 kB
- SHA256:
- 51c9c9fe23b741237291f06d2e91c048e5535c81fdd0292f03a168dc608655aa
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