Instructions to use lokijii/qwen_vl_expart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lokijii/qwen_vl_expart with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL-Chat-Int4") model = PeftModel.from_pretrained(base_model, "lokijii/qwen_vl_expart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d02c42e82be5cbabd4733cde253c78dd50edaa1e94bb996248ee0aa33752b2c
- Size of remote file:
- 16.3 GB
- SHA256:
- 521ba294c488921068fd1a0ced02dd606000387300aa8250ef5a2aeec0c7d81c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.