Model Card for Model ID
The model detect claim-worthiness of a given text. This model is a part of an automatic fact-checking pipeline.
The model is trained on data for Task 1 from CLEF2021-CheckThat and CLEF2024-CheckThat
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [More Information Needed]
- Model type: transformer
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: FacebookAI/xlm-roberta-base
Uses
The model is fine-tuned on a multilingual dataset, combining english, spanish, arabic, bulgarian, turkish, and dutch. It is meant to be used as zero-shot model for multilingual text data.
tokenizer = XLMRobertaTokenizer.from_pretrained("FacebookAI/xlm-roberta-base")
model = XLMRobertaForSequenceClassification.from_pretrained("SophieTr/xlm-roberta-base-claim-detection-clef21-24")
inputs = tokenizer(
sentence_array,
return_tensors="pt",
padding=True,
truncation=True
)
with torch.no_grad():
logits = model(**inputs).logits
predictions = [logits[i].argmax().item() for i,t in enumerate(logits)]
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