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Browse files- q_generator1.py +2 -2
- requirements.txt +3 -0
q_generator1.py
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from transformers import
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class QGenerator:
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def __init__(self):
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tokenizer =
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model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/t5-small-qg-hl")
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self.qg = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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from transformers import T5Tokenizer, AutoModelForSeq2SeqLM, pipeline
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class QGenerator:
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def __init__(self):
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tokenizer = T5Tokenizer.from_pretrained("valhalla/t5-small-qg-hl", use_fast=False)
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model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/t5-small-qg-hl")
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self.qg = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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requirements.txt
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scikit-learn
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numpy
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uuid
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scikit-learn
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numpy
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uuid
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sentence_transformers
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sentencepiece
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tiktoken
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