Instructions to use lhallee/moe_train_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lhallee/moe_train_run with Transformers:
# Load model directly from transformers import AutoTokenizer, MoEBertForSentenceSimilarity tokenizer = AutoTokenizer.from_pretrained("lhallee/moe_train_run") model = MoEBertForSentenceSimilarity.from_pretrained("lhallee/moe_train_run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b6d09daacb958c7ec43e4f10d5ed33bc96cdca845a339cdb168a177f94b5c7
- Size of remote file:
- 5.3 kB
- SHA256:
- 6e0e098c5edac9fd984a038e9d028475a72c8b914d83b10336a7bcb3a3a2a615
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