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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 checkpoint-3750/scheduler.pt from ambient-intelligence-labs/egoproactive-4b-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/ambient-intelligence-labs/egoproactive-4b-lora/resolve/main/checkpoint-3750/scheduler.pt
- Command line
-
hf download hf://ambient-intelligence-labs/egoproactive-4b-lora/checkpoint-3750/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ambient-intelligence-labs/egoproactive-4b-lora/resolve/main/checkpoint-3750/scheduler.pt
1.47 kB
- Xet hash:
- c9344746152e8c580cfa09baeda92ab183023e3f9bd29b4dc44cc7d395cf8405
- Size of remote file:
- 1.47 kB
- SHA256:
- 8f4bcd2b1bf011455caf8cdd832bc2132846b246d6c0535155dd31f9984b387f
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