Andreas Almgren
Andreas Almgren (born 12 June 1995) is a Swedish track and field middle-distance runner.[1] On 27 July 2014, he won the bronze medal at the 800 metres event at the World Junior Championships in Eugene, Oregon, United States.[2]
Andreas Almgren in 2015. | |||||||||||
Personal information | |||||||||||
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Nationality | Swedish | ||||||||||
Born | 12 June 1995 | ||||||||||
Sport | |||||||||||
Sport | Running | ||||||||||
Event(s) | 800 metres | ||||||||||
Achievements and titles | |||||||||||
Personal best(s) | 800 m: 1:45.65 (Eugene 2014) | ||||||||||
Medal record
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Achievements
Year | Competition | Venue | Position | Event | Notes |
---|---|---|---|---|---|
2011 | World Youth Championships | Lille, France | 19th (sf) | 800 m | 1:52.26 |
2014 | World Junior Championships | Eugene, United States | 3rd | 800 m | 1:45.65 NJR |
European Championships | Zürich, Switzerland | 10th (sf) | 800 m | 1:47.55 | |
2015 | European Indoor Championships | Prague, Czech Republic | 4th | 800 m | 1:47.78 |
World Championships | Beijing, China | 25th (h) | 800 m | 1:48.06 |
gollark: ·Oh, `bot.run`, right.
gollark: ```pythonfrom transformers import GPT2LMHeadModel, GPT2Tokenizerimport discord.extfrom discord.ext import commandsTOKEN = 'NOT TELLING YOU'bot = commands.Bot(command_prefix='$')@bot.eventasync def on_ready(): print("done!")@bot.command()async def test(ctx, arg): inputs = arg # initialize tokenizer and model from pretrained GPT2 model tokenizer = GPT2Tokenizer.from_pretrained('gpt2') model = GPT2LMHeadModel.from_pretrained('gpt2') outputs = model.generate( inputs, max_length=200, do_sample=True, temperature=1, top_k=50 ) response = (tokenizer.decode(outputs[0], skip_special_tokens=True)) await ctx.send(response)client.run(TOKEN)```
gollark: Yes, you can just use `@bot.event` or something.
gollark: This is probably obvious but you're sending it in a channel the bot sees, right?
gollark: Do you need horrible amounts of computing power for this? I could use this for purposes.
References
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