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:
- ae9f01535317e2a93fd40acbea3d09b8df3c3f0632eaf13ace2d2241e9cd2910
- Size of remote file:
- 4.37 MB
- SHA256:
- c80f820a01e61bcf16524514d1cc4144f84510adf5fbe85b909fb1126fe3b1db
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