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README.md
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@@ -62,6 +62,28 @@ The following hyperparameters were used during training:
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### Training results
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### Framework versions
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### Training results
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### How to use it?
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```
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from transformers import AutoTokenizer
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from transformers import TextGenerationPipeline, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("jed351/gpt2-tiny-zh-hk")
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model = AutoModelForCausalLM.from_pretrained("jed351/gpt2_tiny_zh-hk-shikoto")
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# try messing around with the parameters
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generator = TextGenerationPipeline(model, tokenizer,
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max_new_tokens=200,
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no_repeat_ngram_size=3,
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do_sample=True,
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top_k=50, top_p=0.95,
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temperature=0.9) #, device=0) #if you have a GPU
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input_string = "已經返工"
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output = generator(input_string)
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string = output[0]['generated_text'].replace(' ', '')
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print(string)
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```
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### Framework versions
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