How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Nehc/AGIRussia")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nehc/AGIRussia")
model = AutoModelForCausalLM.from_pretrained("Nehc/AGIRussia")
Quick Links

Start from sberbank-ai/rugpt3medium_based_on_gpt2 and finetuning on AGIRussia chats (russian).

On this moment - only 3 epoch (perplexity falls reasons)

on progress...

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Safetensors
Model size
0.5B params
Tensor type
F32
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U8
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