Gnathostoma

Not to be confused with Gnathostomata (singular: Gnathostoma), a Vertebrate Superclass.

Gnathostoma
Scientific classification
Kingdom:
Animalia
Phylum:
Nematoda
Class:
Secernentea
Order:
Spirurida
Family:
Gnathostomatidae
Genus:
Gnathostoma

Owen, 1837[1]

Gnathostoma is a genus of parasitic nematodes. The species Gnathostoma spinigerum and Gnathostoma hispidum can cause gnathostomiasis.

Species
  • Gnathostoma binucleatum (Almeyda-. Artigas, 1991)
  • Gnathostoma doloresi
  • Gnathostoma hispidum (Fedtschenko, 1872)
  • Gnathostoma lamothei
  • Gnathostoma malaysiae (Miyazaki & Dunn, 1965)
  • Gnathostoma nipponicum
  • Gnathostoma spinigerum Levinsen, 1889
  • Gnathostoma turgidum
gollark: Instead of recomputing the embeddings every time a new sentence comes in.
gollark: The embeddings for your example sentences are the same each time you run the model, so you can just store them somewhere and run the cosine similarity thing on all of them in bulk.
gollark: Well, it doesn't look like you ever actually move the `roberta-large-mnli` model to your GPU, but I think the Sentence Transformers one is slow because you're using it wrong.
gollark: For the sentence_transformers one, are you precomputing the embeddings for the example sentences *then* just cosine-similaritying them against the new sentence? Because if not that's probably a very large bottleneck.
gollark: sentence_transformers says you should be able to do several thousand sentences a second on a V100, which I'm pretty sure is worse than your GPU. Are you actually running it on the GPU?

References
  1. Owen R. (1837). Proceedings of the Zoological Society of London 4: 125.


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