Instructions to use income/jpq-genq-scidocs-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-scidocs-document_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-scidocs-document_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-scidocs-document_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aefb841fe33394b7a38662a18f3cd8c2688977db96c0e4706753408119d9961
- Size of remote file:
- 269 MB
- SHA256:
- c0b4810e949196916510a3973dd69a23a7a1deeff3a369a115f5d246b74d924a
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