Instructions to use ziqingyang/visualcla-7b-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ziqingyang/visualcla-7b-v0.1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ziqingyang/visualcla-7b-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ziqingyang/visualcla-7b-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 1.03 GB
-
https://huggingface.co/ziqingyang/visualcla-7b-v0.1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ziqingyang/visualcla-7b-v0.1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ziqingyang/visualcla-7b-v0.1/resolve/main/adapter_model.bin
1.03 GB
- Xet hash:
- d4868630ef9da902ea19e66d478e8381f9c386b52890317b976a94900579beb3
- Size of remote file:
- 1.03 GB
- SHA256:
- 9c70c9fdc2f462a138b6739ae963bc1cd16515363363307927ff0eda16e7176d
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