Instructions to use income/jpq-gpl-dbpedia-entity-question_encoder-base-msmarco-distilbert-tas-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use income/jpq-gpl-dbpedia-entity-question_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-gpl-dbpedia-entity-question_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-gpl-dbpedia-entity-question_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a34f8f053e783fec02f707c7cb948065b60874aa9fffc5a8c3cdc8e637e8967
- Size of remote file:
- 269 MB
- SHA256:
- 31336690de20993f47a9af10f354e3b5337b8082151cfef49541eebe858ef2fa
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