Vulvoz
Vulvoz is a commune in the Jura department and Bourgogne-Franche-Comté region of eastern France.
Vulvoz | |
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Location of Vulvoz 
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  Vulvoz  Vulvoz | |
| Coordinates: 46°19′42″N 5°47′25″E | |
| Country | France |
| Region | Bourgogne-Franche-Comté |
| Department | Jura |
| Arrondissement | Saint-Claude |
| Canton | Saint-Lupicin |
| Intercommunality | Haut-Jura Saint-Claude |
| Government | |
| • Mayor (2014-2020) | Daniel Jacquenod |
| Area 1 | 4.49 km2 (1.73 sq mi) |
| Population (2017-01-01)[1] | 20 |
| • Density | 4.5/km2 (12/sq mi) |
| Time zone | UTC+01:00 (CET) |
| • Summer (DST) | UTC+02:00 (CEST) |
| INSEE/Postal code | 39585 /39360 |
| Elevation | 448–1,010 m (1,470–3,314 ft) |
| 1 French Land Register data, which excludes lakes, ponds, glaciers > 1 km2 (0.386 sq mi or 247 acres) and river estuaries. | |
Population
| Year | Pop. | ±% |
|---|---|---|
| 2006 | 17 | — |
| 2007 | 17 | +0.0% |
| 2008 | 17 | +0.0% |
| 2009 | 19 | +11.8% |
| 2010 | 20 | +5.3% |
| 2011 | 18 | −10.0% |
| 2012 | 17 | −5.6% |
| 2013 | 15 | −11.8% |
| 2014 | 16 | +6.7% |
| 2015 | 18 | +12.5% |
| 2016 | 19 | +5.6% |
gollark: No, that thing is fine, but your *other* model is not being loaded onto the GPU.
gollark: https://www.sbert.net/examples/applications/semantic-search/README.html is kind of like what you want.
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.
See also
References
- "Populations légales 2017". INSEE. Retrieved 6 January 2020.
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