Instructions to use arad1367/Qwen2-VL-2B-Instruct-TRL-sustainable-tracking-wandb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arad1367/Qwen2-VL-2B-Instruct-TRL-sustainable-tracking-wandb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "arad1367/Qwen2-VL-2B-Instruct-TRL-sustainable-tracking-wandb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ea7b8a853558b743d0e6e83d9e88e73f68204bc04c74cb77b4e0602f68b7bd2
- Size of remote file:
- 5.62 kB
- SHA256:
- 5045977f84f363db317d983b880a8f129063e499fa69c117bce47674f497380f
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