Instructions to use YShow/Yi-VL-34B-VIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use YShow/Yi-VL-34B-VIT with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:YShow/Yi-VL-34B-VIT') tokenizer = open_clip.get_tokenizer('hf-hub:YShow/Yi-VL-34B-VIT') - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YShow/Yi-VL-34B-VIT: direct link, hf CLI and curl.
- Browser
- Download file 2.53 GB
-
https://huggingface.co/YShow/Yi-VL-34B-VIT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YShow/Yi-VL-34B-VIT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YShow/Yi-VL-34B-VIT/resolve/main/pytorch_model.bin
2.53 GB
- Xet hash:
- ddc3678e2a3850c49cac73ae9dd0cd7ba640a2ca57b6716f8159b7e2992b06bb
- Size of remote file:
- 2.53 GB
- SHA256:
- fa0c1b4a16fa93bd8bb53e5190e8624dc6f5de5175b9c6ebf02cc5c545247e6a
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