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mmochtak/
lieline

Name: lieline
Availability: InStock

safetensors

roberta

cc-by-nc-4.0

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Usage example

python

from transformers import AutoModelForSequenceClassification, TextClassificationPipeline, AutoTokenizer, AutoConfig

MODEL = "mmochtak/lieline"
tokenizer = AutoTokenizer.from_pretrained(MODEL)
config = AutoConfig.from_pretrained(MODEL)
model = AutoModelForSequenceClassification.from_pretrained(MODEL)

pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, task='classification', device=0)

result = pipe([
    "You are a moron.",
    "You, sir, are a liar.",
    "I do not know; I was not there.",
    "You are giving us very misleading information!"
])

print(result)

Please cite the model as follows:

@misc{parlasent-model,
    author       = {Mochtak, Michal and Meijers, Maurits},
    title        = {LieLine},
    year         = {2026},
    url          = {https://huggingface.co/mmochtak/lieline},
    publisher    = {Hugging Face}
}