Mikhail Chalykh

Mikhail Viktorovich Chalikh — (/mɪˈhl ˈʌlɪx/; Russian: Михаи́л Ви́кторович Ча́лых; born November 20, 1983) is a Russian professional heavyweight kickboxer. He is a Russian Merited Master of Sports in kickboxing.[1] He is a World champion in kickboxing (2006), a European champion in kickboxing (2004), a Russian three times champion in kickboxing (in 2004, 2005 and 2007 years).

Mikhail Chalykh
Statistics
Weight(s)187 LBS
Height190 cm (6 ft 3 in)
NationalityRussian
Born (1983-11-20) November 20, 1983
Volgograd, Russian SFSR, Soviet Union
StanceKickboxing
Boxing record
Total fights20
Wins18
Wins by KO6
Losses4
Draws0

Career

Titles

  • Professional
    • 2007 WBKF Russian champion -75 kg[2]
    • 2006 WBKF World champion -76 кг[3]
    • 2005 WBKF Russian champion -75 кг[4]
    • 2004 WBKF European champion -76 кг[5]
    • 2004 WBKF Russian champion -75 кг
  • Amateur
    • 2011 WAKO Russian champion -81 кг[6]
    • 2007 WAKO Russian champion -75 кг
    • 2006 WAKO Russian champion -75 кг
    • 2006 WAKO European championship finalist -75 кг
    • 2005 WAKO World champion -75 кг
    • 2005 WAKO Russian championship finalist -75 кг
    • 2004 WAKO European champion -81 кг
    • 2004 WAKO Russian championship finalist -81 кг
    • 2002 WAKO Russian championship winner -75 кг
    • 2002 WAKO World championship winner -75 кг

Professional record

Kickboxing record

Legend:   Win   Loss   Draw/No contest   Notes

gollark: Does it print `done!` at least?
gollark: I think the issue is that your `bot` is separate from the `client` and never actually started up.
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.

References

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