Instructions to use deepset/bert-small-mm_retrieval-table_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-small-mm_retrieval-table_encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("deepset/bert-small-mm_retrieval-table_encoder") model = DPRContextEncoder.from_pretrained("deepset/bert-small-mm_retrieval-table_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cac65d985d731ea7de6ba80108debb3d16e616fa780d3ff752d0ee8015e142de
- Size of remote file:
- 115 MB
- SHA256:
- 0eaaa7e0e15bc287f18e18c223070b11c2169930913795a84242cec42bcd9b53
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