Instructions to use income/jpq-genq-robust04-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-genq-robust04-question_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-robust04-question_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-robust04-question_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46809df96a8db1cb903cf58a81eb25507a6f88203db81c7308a8cba1c5e9a1f1
- Size of remote file:
- 269 MB
- SHA256:
- f968272f77b01ff22ab41c105d9b2c204c8877d7bb1045c3191a25cee230f81b
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