google-research-datasets/paws-x
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How to use Borsa356/xpaws_contradiction_finder4 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Borsa356/xpaws_contradiction_finder4") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Borsa356/xpaws_contradiction_finder4")
model = AutoModelForSequenceClassification.from_pretrained("Borsa356/xpaws_contradiction_finder4")This is a experiment for training the bert-base-german-cased model to distinguish between rephrases and non-rephrases of a sentence
🤗 transformers model
Model type: transformers model
Language(s) (NLP): German
Finetuned from model [optional]: bert-base-german-cased
google paws-x de
Base model
google-bert/bert-base-german-cased