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cloudqi
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cqi_brain_memory_summarizer_large_pt_v0

Summarization
Transformers
PyTorch
Safetensors
English
Portuguese
mt5
text2text-generation
Eval Results (legacy)
Model card Files
xet
 Community
2
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline

pipe = pipeline("summarization", model="cloudqi/cqi_brain_memory_summarizer_large_pt_v0")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("cloudqi/cqi_brain_memory_summarizer_large_pt_v0")
model = AutoModelForSeq2SeqLM.from_pretrained("cloudqi/cqi_brain_memory_summarizer_large_pt_v0")
Quick Links

CQI Brain - Sumarização de Textos Longos PT V0

Aplicação de Pré tratamento para armazenamento de memórias

Work in progress

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13
Safetensors
Model size
0.6B params
Tensor type
F32
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Summarization
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Dataset used to train cloudqi/cqi_brain_memory_summarizer_large_pt_v0

Space using cloudqi/cqi_brain_memory_summarizer_large_pt_v0 1

Evaluation results

  • ROUGE-1 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    36.500
  • ROUGE-2 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    13.934
  • Validation ROUGE-1 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    54.392
  • Validation ROUGE-2 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    29.808
  • Validation ROUGE-L on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    45.154
  • Test ROUGE-1 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    53.306
  • Test ROUGE-2 on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    28.355
  • Test ROUGE-L on SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
    self-reported
    44.095