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This is a beginner's test model.

from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
modelName='MingZhuang/mz_model_merged'
model = AutoModelForCausalLM.from_pretrained(modelName)
tokenizer = AutoTokenizer.from_pretrained(modelName)
generate = transformers.pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
)

Result = generate(
    "</s>Human: How can I find a girlfriend?<s> Assistant:",
    max_new_tokens=120
)
Result

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Safetensors

Model size

325M params

Tensor type

F32

Inference Examples

Text Generation

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MZ01
/

mz_model_merged

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Dataset used to train MZ01/mz_model_merged