Instructions to use GleghornLab/joint_moe_tokens_mnr_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/joint_moe_tokens_mnr_plus with Transformers:
# Load model directly from transformers import AutoTokenizer, MoEBertForSentenceSimilarity tokenizer = AutoTokenizer.from_pretrained("GleghornLab/joint_moe_tokens_mnr_plus") model = MoEBertForSentenceSimilarity.from_pretrained("GleghornLab/joint_moe_tokens_mnr_plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8d609d016cb54e782fb44e5f5e583c31090a8ca336eb6b4f1d74c740ed0135e
- Size of remote file:
- 1.54 GB
- SHA256:
- 58f9edf521724e1b3beb05aa30b60913ee500fba9f02f34033cb51cf70cbc3f7
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