Instructions to use income/jpq-genq-nfcorpus-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-nfcorpus-document_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-nfcorpus-document_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-nfcorpus-document_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8f6b539f02aa483d273b8eb51e13c0d5659ce2a63bdc507a255b64f535aea6e
- Size of remote file:
- 269 MB
- SHA256:
- 36f24c0428ce4701a4767b3e49cc98105ec0e0d5f04314ec31d8f7ecfac07b52
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