bleepybloops
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Update README.md
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README.md
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rank 32, trained for 3500 steps on over 200 labeled locations. trigger word ("geoguessr") not always necessary, just name a location
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known model biases:
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- v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
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- it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
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- its trained on lowercase country names, and flux is case sensitive. results may vary
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run this with diffusers:
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```py
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@@ -75,6 +70,11 @@ display(Image(filename=filename))
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```
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geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
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this model is a part of my much larger desterilizer project- a bit more here https://x.com/_lyraaaa_/status/1824003678086590646
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rank 32, trained for 3500 steps on over 200 labeled locations. trigger word ("geoguessr") not always necessary, just name a location
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run this with diffusers:
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```py
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```
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+
known model biases:
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+
- v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
|
75 |
+
- it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
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76 |
+
- its trained on lowercase country names, and flux is case sensitive. results may vary
|
77 |
+
|
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geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
|
79 |
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80 |
this model is a part of my much larger desterilizer project- a bit more here https://x.com/_lyraaaa_/status/1824003678086590646
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