Instructions to use income/jpq-genq-quora-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-quora-document_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-quora-document_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-quora-document_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a91836a6389dd9a96fd426356f44fe49ebb7992d42daca40236d8ea6589ef04
- Size of remote file:
- 269 MB
- SHA256:
- 6d99f95cb0fc48570ed63df6c26a2061a15db14711fd7b9b583d9fe05d624a74
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