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alpaca-title-generator-mt0-large
theblackcat102/alpaca-title-generator-mt0-large
alpaca-title-generator-mt0-large is a text generation model from theblackcat102. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
data was generated using response pair from yahma/alpaca-cleaned and use openai turbo model for title.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- mt5
- Access
- Public
- Created
- Apr 7, 2023
- Updated
- Apr 10, 2023
- SHA
- 143e9c9e
Try a prompt
Model card
From the Hugging Face model README
Generate title for conversation
How to use
model_name = "theblackcat102/alpaca-title-generator-mt0-large"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
question = 'Hi\nHow can I help you?'
encodes = tokenizer(question, return_tensors='pt')
outputs = model.generate(encodes.input_ids,
max_length=512,
do_sample=True,
repetition_penalty=1.2,
top_k=50,
num_return_sequences=1,
early_stopping=True
)
for i, beam_output in enumerate(outputs):
print('-----')
print("{}".format(tokenizer.decode(beam_output, skip_special_tokens=True)))
# > Help requested.
Generate title data
data was generated using response pair from yahma/alpaca-cleaned and use openai turbo model for title.
""
user: {}
assistant: {}
""
Generate a very short title within 5 words of the conversation above, title must be as relevant as possible. Title language must be same as the context
TITLE:
- Task
- Text Generation
- Library
- transformers
- Type
- mt5
- License
- mit
- Languages
- en, zh, de, fr, ja, ko
- Created
- Apr 7, 2023
- Updated
- Apr 10, 2023