Instructions to use EMBO/soda-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/soda-embed with Transformers:
# Load model directly from transformers import AutoTokenizer, Twin tokenizer = AutoTokenizer.from_pretrained("EMBO/soda-embed") model = Twin.from_pretrained("EMBO/soda-embed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd4346aa37c67b75780ed8045bcdd2c86d6d7803a07428f5e4e2d8bc01fffa04
- Size of remote file:
- 438 MB
- SHA256:
- b753832135abe997f95dd3fac1ae704f23ebbf66053c3ce982b6d568c1f36f17
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