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minimind-pretrain – AI Model by samz | AlphaNeural AI

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samz/
minimind-pretrain

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MiniMind Pretrained Model

Chinese language model trained on pretrain dataset.

Model Details

Architecture: Transformer
Parameters: 26.878M
Dimensions: 512
Layers: 8
Attention Heads: 8
Vocabulary Size: 32000
Max Sequence Length: 1024

Training Data

Pretrained on Chinese text corpus
Dataset size: 4.33GB

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("samz/minimind-pretrain")
tokenizer = AutoTokenizer.from_pretrained("samz/minimind-pretrain")

text = "今天天气真不错"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
result = tokenizer.decode(outputs[0])
print(result)