Yin Fang
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Update README.md
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README.md
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@@ -110,13 +110,14 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("zjunlp/chatcell-base")
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model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/chatcell-base")
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input_text="Detail the 100 starting genes for a Mix, ranked by expression level: "
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# Encode the input text and generate a response with specified generation parameters
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input_ids = tokenizer(input_text,return_tensors="pt").input_ids
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output_ids = model.generate(input_ids, max_length=512, num_return_sequences=1, no_repeat_ngram_size=2, top_k=50, top_p=0.95, do_sample=True)
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# Decode and print the generated output text
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output_text = tokenizer.decode(output_ids[0],skip_special_tokens=True)
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print(output_text)
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-
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```
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tokenizer = AutoTokenizer.from_pretrained("zjunlp/chatcell-base")
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model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/chatcell-base")
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input_text="Detail the 100 starting genes for a Mix, ranked by expression level: "
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# Encode the input text and generate a response with specified generation parameters
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input_ids = tokenizer(input_text,return_tensors="pt").input_ids
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output_ids = model.generate(input_ids, max_length=512, num_return_sequences=1, no_repeat_ngram_size=2, top_k=50, top_p=0.95, do_sample=True)
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# Decode and print the generated output text
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output_text = tokenizer.decode(output_ids[0],skip_special_tokens=True)
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print(output_text)
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```
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