Instructions to use carsonpoole/binary-siglip-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carsonpoole/binary-siglip-text with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("carsonpoole/binary-siglip-text") model = AutoModel.from_pretrained("carsonpoole/binary-siglip-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5feb1d3239d8b8226ed358e09ea5f796c73b17ea9599ed5a6509020a211ec0a2
- Size of remote file:
- 909 MB
- SHA256:
- 6470c90eff16bbcf84e2e1f95bcf5516343b0742b398e1ed496426262f95727f
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