YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
SummaCoz LoRA Adapter for flan-t5-xxl
The model provides summarization factual consistency classificaiton and explanations.
Model Details
- Paper: SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization
- Dataset:
nkwbtb/SummaCoz
Model Usage
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl")
model = AutoModelForSeq2SeqLM.from_pretrained("nkwbtb/flan-t5-11b-SummaCoz",
torch_dtype="auto",
device_map="auto")
pipe = pipeline("text2text-generation",
model=model,
tokenizer=tokenizer)
PROMPT = """Is the hypothesis true based on the premise? Give your explanation afterwards.
Premise:
{article}
Hypothesis:
{summary}
"""
article = "Goldfish are being caught weighing up to 2kg and koi carp up to 8kg and one metre in length."
summary = "Goldfish are being caught weighing up to 8kg and one metre in length."
print(pipe(PROMPT.format(article=article, summary=summary),
do_sample=False,
max_new_tokens=512))
"""[{'generated_text': '\
No, the hypothesis is not true. \
- The hypothesis states that goldfish are being caught weighing up to 8kg and one metre in length. \
- However, the premise states that goldfish are being caught weighing up to 2kg and koi carp up to 8kg and one metre in length. \
- The difference between the two is that the koi carp is weighing 8kg and the goldfish is weighing 2kg.'}]"""
Citation [optional]
BibTeX:
[More Information Needed]
Model tree for nkwbtb/flan-t5-11b-SummaCoz
Base model
nkwbtb/flan-t5-xxl-bf16
docker model run hf.co/nkwbtb/flan-t5-11b-SummaCoz