Instructions to use income/jpq-genq-dbpedia-entity-document_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-genq-dbpedia-entity-document_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-dbpedia-entity-document_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-dbpedia-entity-document_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdfd36c17822fa9ac14e3e2d9c3f2f8febb16a065bdd418659b993b75c591a92
- Size of remote file:
- 269 MB
- SHA256:
- 6d7285a4dbdd8b112f00dcaf88300fdbba2de53b73a37baf8f99c0310401a4c2
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