Instructions to use biu-nlp/abstract-sim-query-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/abstract-sim-query-pubmed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="biu-nlp/abstract-sim-query-pubmed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("biu-nlp/abstract-sim-query-pubmed") model = AutoModelForMaskedLM.from_pretrained("biu-nlp/abstract-sim-query-pubmed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c047ed36340d9148c198b598e4c0b3940132823c70a9a1f19102d1a4607ab48
- Size of remote file:
- 438 MB
- SHA256:
- 402eb66fdc17b97dab34df4f561a2271665081555f9fe92a731e3a4336d77799
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