Sérempuy
Sérempuy is a commune in the Gers department in southwestern France.
Sérempuy | |
|---|---|
 The church in Sérempuy | |
Location of Sérempuy 
| |
  Sérempuy  Sérempuy | |
| Coordinates: 43°45′42″N 0°49′30″E | |
| Country | France |
| Region | Occitanie |
| Department | Gers |
| Arrondissement | Condom |
| Canton | Gimone-Arrats |
| Intercommunality | Bastides du Val d'Arrats |
| Government | |
| • Mayor (2008–2014) | Serge Diana |
| Area 1 | 3.27 km2 (1.26 sq mi) |
| Population (2017-01-01)[1] | 34 |
| • Density | 10/km2 (27/sq mi) |
| Time zone | UTC+01:00 (CET) |
| • Summer (DST) | UTC+02:00 (CEST) |
| INSEE/Postal code | 32431 /32120 |
| Elevation | 126–189 m (413–620 ft) (avg. 132 m or 433 ft) |
| 1 French Land Register data, which excludes lakes, ponds, glaciers > 1 km2 (0.386 sq mi or 247 acres) and river estuaries. | |
Geography
Sérempuy and its surrounding communes
Population
| Year | Pop. | ±% |
|---|---|---|
| 1962 | 87 | — |
| 1968 | 67 | −23.0% |
| 1975 | 48 | −28.4% |
| 1982 | 35 | −27.1% |
| 1990 | 29 | −17.1% |
| 1999 | 29 | +0.0% |
| 2008 | 38 | +31.0% |
gollark: If you want to use the NLI model instead of a semantic search-y thing, you probably will have bad performance issues since it *does* actually have to compare all the input sentences against all the example sentences using a full pass through the model.
gollark: That just puts the tokenized tokens onto the GPU, not the model. I would expect that to just error, actually, if the model and tokens are on separate devices.
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.
See also
References
- "Populations légales 2017". INSEE. Retrieved 6 January 2020.
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