- Web Wormhole https://webwormhole.io/ https://github.com/saljam/webwormhole
- Localsend https://web.localsend.org/
- FilePizza https://file.pizza/
ShareDrop sharedrop.io https://github.com/szimek/sharedrop(SOLD, not recommended, use one of the forks)A clone SnapDrop snapdrop.net https://github.com/RobinLinus/snapdrop(SOLD, not recommended, use one of the forks)- A fork PairDrop https://pairdrop.net/ https://github.com/schlagmichdoch/pairdrop
- ToffeeShare https://toffeeshare.com/
- Instant.io https://instant.io/
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| # Pass the env-vars to MYCOMMAND | |
| eval $(egrep -v '^#' .env | xargs) MYCOMMAND | |
| # … or ... | |
| # Export the vars in .env into your shell: | |
| export $(egrep -v '^#' .env | xargs) |
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| from django.utils.functional import curry | |
| class DetailsInline(admin.TabularInline): | |
| model = Details | |
| # formset = DetailsFormset | |
| extra = 3 | |
| def get_formset(self, request, obj=None, **kwargs): | |
| initial = [] | |
| if request.method == "GET": |
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| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
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