# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Lifan-Z/dummy-model")
model = AutoModelForMaskedLM.from_pretrained("Lifan-Z/dummy-model")Quick Links
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license: apache-2.0 language: - en
import transformers
import gradio as gr
from transformers import pipeline
gpt2 = pipeline('text-generation', model = 'Lifan-Z/protGPT2_5') #最长１４９９个字母；１４９９／４＝３７５
sequences = gpt2('<|endoftext|>', max_length=375, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=10, eos_token_id=0)
for seq in sequences:
print(len(seq.get('generated_text')))
print(seq)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Lifan-Z/dummy-model")