Instructions to use GleghornLab/sci_moe_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/sci_moe_all with Transformers:
# Load model directly from transformers import AutoTokenizer, MoEBertForSentenceSimilarity tokenizer = AutoTokenizer.from_pretrained("GleghornLab/sci_moe_all") model = MoEBertForSentenceSimilarity.from_pretrained("GleghornLab/sci_moe_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 735039e73a655bfd755a9b13b5774210c3e1ecf877180f55f8258367ff01cd8e
- Size of remote file:
- 2.93 GB
- SHA256:
- d7b92562d81f622c3fd0477f0cb2a0c21c83cd9bf6713ac33bacabfcccbbd98d
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