Instructions to use Jeong-su/car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jeong-su/car with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf") model = PeftModel.from_pretrained(base_model, "Jeong-su/car") - Notebooks
- Google Colab
- Kaggle
Download trainer_log.jsonl from Jeong-su/car: direct link, hf CLI and curl.
- Browser
- Download file 855 Bytes
-
https://huggingface.co/Jeong-su/car/resolve/main/trainer_log.jsonl
- Command line
-
hf download hf://Jeong-su/car/trainer_log.jsonl
-
curl -L -o trainer_log.jsonl https://huggingface.co/Jeong-su/car/resolve/main/trainer_log.jsonl
855 Bytes
| {"current_steps": 5, "total_steps": 22, "loss": 0.8615, "lr": 2.5e-06, "epoch": 0.22346368715083798, "percentage": 22.73, "elapsed_time": "0:02:28", "remaining_time": "0:08:24"} | |
| {"current_steps": 10, "total_steps": 22, "loss": 0.894, "lr": 5e-06, "epoch": 0.44692737430167595, "percentage": 45.45, "elapsed_time": "0:04:46", "remaining_time": "0:05:43"} | |
| {"current_steps": 15, "total_steps": 22, "loss": 0.8808, "lr": 7.5e-06, "epoch": 0.6703910614525139, "percentage": 68.18, "elapsed_time": "0:07:08", "remaining_time": "0:03:20"} | |
| {"current_steps": 20, "total_steps": 22, "loss": 0.8746, "lr": 1e-05, "epoch": 0.8938547486033519, "percentage": 90.91, "elapsed_time": "0:09:27", "remaining_time": "0:00:56"} | |
| {"current_steps": 22, "total_steps": 22, "epoch": 0.9832402234636871, "percentage": 100.0, "elapsed_time": "0:10:18", "remaining_time": "0:00:00"} | |