Instructions to use income/jpq-genq-scifact-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-scifact-question_encoder-base-msmarco-distilbert-tas-b with Transformers:
# Load model directly from transformers import AutoTokenizer, JPQTowerTASB tokenizer = AutoTokenizer.from_pretrained("income/jpq-genq-scifact-question_encoder-base-msmarco-distilbert-tas-b") model = JPQTowerTASB.from_pretrained("income/jpq-genq-scifact-question_encoder-base-msmarco-distilbert-tas-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219830329aac16c424313448dfffc45a368fee6720e3ade033b3c9290935168d
- Size of remote file:
- 269 MB
- SHA256:
- 9755ca14bdbc9a0c8aa2cbc8b2642df59974e85c81287006b3c75a3cb007e1ab
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